Overview

Brought to you by YData

Dataset statistics

Number of variables114
Number of observations17586
Missing cells1451839
Missing cells (%)72.4%
Duplicate rows14
Duplicate rows (%)0.1%
Total size in memory104.6 MiB
Average record size in memory6.1 KiB

Variable types

Text81
Categorical30
DateTime1
Numeric2

Alerts

Violation Points - 24 has constant value "1.0" Constant
Violation Description - 25 has constant value "*42 Dirty nonfood contact surfaces" Constant
Violation Points - 25 has constant value "1.0" Constant
Violation Detail - 25 has constant value "228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris." Constant
Violation Memo - 25 has constant value "Dirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor." Constant
Dataset has 14 (0.1%) duplicate rowsDuplicates
Inspection Month is highly overall correlated with Inspection Year and 1 other fieldsHigh correlation
Inspection Type is highly overall correlated with Violation Points - 23High correlation
Inspection Year is highly overall correlated with Inspection MonthHigh correlation
Street Direction is highly overall correlated with Violation Points - 22High correlation
Street Type is highly overall correlated with Violation Points - 22 and 1 other fieldsHigh correlation
Violation Points - 1 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 11 is highly overall correlated with Violation Points - 23High correlation
Violation Points - 2 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 20 is highly overall correlated with Violation Points - 23High correlation
Violation Points - 21 is highly overall correlated with Violation Points - 1 and 4 other fieldsHigh correlation
Violation Points - 22 is highly overall correlated with Street Direction and 7 other fieldsHigh correlation
Violation Points - 23 is highly overall correlated with Inspection Month and 8 other fieldsHigh correlation
Violation Points - 3 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 4 is highly overall correlated with Violation Points - 23High correlation
Violation Points - 5 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 6 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 7 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 8 is highly overall correlated with Violation Points - 22 and 1 other fieldsHigh correlation
Violation Points - 9 is highly overall correlated with Violation Points - 21 and 1 other fieldsHigh correlation
Inspection Type is highly imbalanced (95.7%) Imbalance
Street Direction has 11790 (67.0%) missing values Missing
Street Type has 363 (2.1%) missing values Missing
Street Unit has 11438 (65.0%) missing values Missing
Violation Description - 1 has 1687 (9.6%) missing values Missing
Violation Points - 1 has 1687 (9.6%) missing values Missing
Violation Detail - 1 has 1852 (10.5%) missing values Missing
Violation Memo - 1 has 4471 (25.4%) missing values Missing
Violation Description - 2 has 3447 (19.6%) missing values Missing
Violation Points - 2 has 3447 (19.6%) missing values Missing
Violation Detail - 2 has 3625 (20.6%) missing values Missing
Violation Memo - 2 has 6015 (34.2%) missing values Missing
Violation Description - 3 has 5509 (31.3%) missing values Missing
Violation Points - 3 has 5509 (31.3%) missing values Missing
Violation Detail - 3 has 5653 (32.1%) missing values Missing
Violation Memo - 3 has 7726 (43.9%) missing values Missing
Violation Description - 4 has 7533 (42.8%) missing values Missing
Violation Points - 4 has 7533 (42.8%) missing values Missing
Violation Detail - 4 has 7665 (43.6%) missing values Missing
Violation Memo - 4 has 9347 (53.2%) missing values Missing
Violation Description - 5 has 9299 (52.9%) missing values Missing
Violation Points - 5 has 9299 (52.9%) missing values Missing
Violation Detail - 5 has 9428 (53.6%) missing values Missing
Violation Memo - 5 has 10771 (61.2%) missing values Missing
Violation Description - 6 has 10833 (61.6%) missing values Missing
Violation Points - 6 has 10833 (61.6%) missing values Missing
Violation Detail - 6 has 10949 (62.3%) missing values Missing
Violation Memo - 6 has 12010 (68.3%) missing values Missing
Violation Description - 7 has 12217 (69.5%) missing values Missing
Violation Points - 7 has 12217 (69.5%) missing values Missing
Violation Detail - 7 has 12313 (70.0%) missing values Missing
Violation Memo - 7 has 13095 (74.5%) missing values Missing
Violation Description - 8 has 13402 (76.2%) missing values Missing
Violation Points - 8 has 13402 (76.2%) missing values Missing
Violation Detail - 8 has 13485 (76.7%) missing values Missing
Violation Memo - 8 has 14095 (80.1%) missing values Missing
Violation Description - 9 has 14398 (81.9%) missing values Missing
Violation Points - 9 has 14398 (81.9%) missing values Missing
Violation Detail - 9 has 14460 (82.2%) missing values Missing
Violation Memo - 9 has 14849 (84.4%) missing values Missing
Violation Description - 10 has 15215 (86.5%) missing values Missing
Violation Points - 10 has 15215 (86.5%) missing values Missing
Violation Detail - 10 has 15274 (86.9%) missing values Missing
Violation Memo - 10 has 15531 (88.3%) missing values Missing
Violation Description - 11 has 15989 (90.9%) missing values Missing
Violation Points - 11 has 15989 (90.9%) missing values Missing
Violation Detail - 11 has 16024 (91.1%) missing values Missing
Violation Memo - 11 has 16191 (92.1%) missing values Missing
Violation Description - 12 has 16624 (94.5%) missing values Missing
Violation Points - 12 has 16624 (94.5%) missing values Missing
Violation Detail - 12 has 16651 (94.7%) missing values Missing
Violation Memo - 12 has 16758 (95.3%) missing values Missing
Violation Description - 13 has 17006 (96.7%) missing values Missing
Violation Points - 13 has 17006 (96.7%) missing values Missing
Violation Detail - 13 has 17019 (96.8%) missing values Missing
Violation Memo - 13 has 17094 (97.2%) missing values Missing
Violation Description - 14 has 17176 (97.7%) missing values Missing
Violation Points - 14 has 17176 (97.7%) missing values Missing
Violation Detail - 14 has 17187 (97.7%) missing values Missing
Violation Memo - 14 has 17231 (98.0%) missing values Missing
Violation Description - 15 has 17305 (98.4%) missing values Missing
Violation Points - 15 has 17305 (98.4%) missing values Missing
Violation Detail - 15 has 17313 (98.4%) missing values Missing
Violation Memo - 15 has 17344 (98.6%) missing values Missing
Violation Description - 16 has 17401 (98.9%) missing values Missing
Violation Points - 16 has 17401 (98.9%) missing values Missing
Violation Detail - 16 has 17406 (99.0%) missing values Missing
Violation Memo - 16 has 17417 (99.0%) missing values Missing
Violation Description - 17 has 17466 (99.3%) missing values Missing
Violation Points - 17 has 17466 (99.3%) missing values Missing
Violation Detail - 17 has 17466 (99.3%) missing values Missing
Violation Memo - 17 has 17480 (99.4%) missing values Missing
Violation Description - 18 has 17515 (99.6%) missing values Missing
Violation Points - 18 has 17515 (99.6%) missing values Missing
Violation Detail - 18 has 17516 (99.6%) missing values Missing
Violation Memo - 18 has 17524 (99.6%) missing values Missing
Violation Description - 19 has 17541 (99.7%) missing values Missing
Violation Points - 19 has 17541 (99.7%) missing values Missing
Violation Detail - 19 has 17542 (99.7%) missing values Missing
Violation Memo - 19 has 17547 (99.8%) missing values Missing
Violation Description - 20 has 17554 (99.8%) missing values Missing
Violation Points - 20 has 17554 (99.8%) missing values Missing
Violation Detail - 20 has 17555 (99.8%) missing values Missing
Violation Memo - 20 has 17557 (99.8%) missing values Missing
Violation Description - 21 has 17568 (99.9%) missing values Missing
Violation Points - 21 has 17568 (99.9%) missing values Missing
Violation Detail - 21 has 17570 (99.9%) missing values Missing
Violation Memo - 21 has 17568 (99.9%) missing values Missing
Violation Description - 22 has 17576 (99.9%) missing values Missing
Violation Points - 22 has 17576 (99.9%) missing values Missing
Violation Detail - 22 has 17576 (99.9%) missing values Missing
Violation Memo - 22 has 17576 (99.9%) missing values Missing
Violation Description - 23 has 17581 (> 99.9%) missing values Missing
Violation Points - 23 has 17581 (> 99.9%) missing values Missing
Violation Detail - 23 has 17581 (> 99.9%) missing values Missing
Violation Memo - 23 has 17581 (> 99.9%) missing values Missing
Violation Description - 24 has 17584 (> 99.9%) missing values Missing
Violation Points - 24 has 17584 (> 99.9%) missing values Missing
Violation Detail - 24 has 17584 (> 99.9%) missing values Missing
Violation Memo - 24 has 17584 (> 99.9%) missing values Missing
Violation Description - 25 has 17585 (> 99.9%) missing values Missing
Violation Points - 25 has 17585 (> 99.9%) missing values Missing
Violation Detail - 25 has 17585 (> 99.9%) missing values Missing
Violation Memo - 25 has 17585 (> 99.9%) missing values Missing

Reproduction

Analysis started2025-04-14 23:33:57.521470
Analysis finished2025-04-14 23:34:25.326781
Duration27.81 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct6603
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
2025-04-14T23:34:25.738784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length65
Median length51
Mean length19.449733
Min length3

Characters and Unicode

Total characters342043
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2006 ?
Unique (%)11.4%

Sample

1st rowSAMS CLUB #6482 - DEMO ROOM
2nd rowAMC THEATRES NORTHPARK 15 (BAR)
3rd rowSAM'S CLUB #8282 - DEMO ROOM
4th rowAFC SUSHI
5th rowFANNIN INNOVATION DESIGN
ValueCountFrequency (%)
1621
 
2.9%
restaurant 682
 
1.2%
the 646
 
1.2%
bar 638
 
1.1%
kitchen 633
 
1.1%
school 598
 
1.1%
la 597
 
1.1%
cafe 558
 
1.0%
el 527
 
0.9%
food 507
 
0.9%
Other values (5927) 48586
87.4%
2025-04-14T23:34:26.459463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38152
 
11.2%
E 30297
 
8.9%
A 29427
 
8.6%
R 20758
 
6.1%
O 20449
 
6.0%
S 19068
 
5.6%
I 18678
 
5.5%
T 18624
 
5.4%
N 17206
 
5.0%
L 16799
 
4.9%
Other values (61) 112585
32.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 342043
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
38152
 
11.2%
E 30297
 
8.9%
A 29427
 
8.6%
R 20758
 
6.1%
O 20449
 
6.0%
S 19068
 
5.6%
I 18678
 
5.5%
T 18624
 
5.4%
N 17206
 
5.0%
L 16799
 
4.9%
Other values (61) 112585
32.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 342043
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
38152
 
11.2%
E 30297
 
8.9%
A 29427
 
8.6%
R 20758
 
6.1%
O 20449
 
6.0%
S 19068
 
5.6%
I 18678
 
5.5%
T 18624
 
5.4%
N 17206
 
5.0%
L 16799
 
4.9%
Other values (61) 112585
32.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 342043
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
38152
 
11.2%
E 30297
 
8.9%
A 29427
 
8.6%
R 20758
 
6.1%
O 20449
 
6.0%
S 19068
 
5.6%
I 18678
 
5.5%
T 18624
 
5.4%
N 17206
 
5.0%
L 16799
 
4.9%
Other values (61) 112585
32.9%

Inspection Type
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
Routine
17449 
Follow-up
 
132
Complaint
 
5

Length

Max length9
Median length7
Mean length7.0155806
Min length7

Characters and Unicode

Total characters123376
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRoutine
2nd rowRoutine
3rd rowRoutine
4th rowRoutine
5th rowRoutine

Common Values

ValueCountFrequency (%)
Routine 17449
99.2%
Follow-up 132
 
0.8%
Complaint 5
 
< 0.1%

Length

2025-04-14T23:34:26.667124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:26.792936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
routine 17449
99.2%
follow-up 132
 
0.8%
complaint 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
o 17718
14.4%
u 17581
14.2%
t 17454
14.1%
n 17454
14.1%
i 17454
14.1%
R 17449
14.1%
e 17449
14.1%
l 269
 
0.2%
p 137
 
0.1%
w 132
 
0.1%
Other values (5) 279
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 123376
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 17718
14.4%
u 17581
14.2%
t 17454
14.1%
n 17454
14.1%
i 17454
14.1%
R 17449
14.1%
e 17449
14.1%
l 269
 
0.2%
p 137
 
0.1%
w 132
 
0.1%
Other values (5) 279
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 123376
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 17718
14.4%
u 17581
14.2%
t 17454
14.1%
n 17454
14.1%
i 17454
14.1%
R 17449
14.1%
e 17449
14.1%
l 269
 
0.2%
p 137
 
0.1%
w 132
 
0.1%
Other values (5) 279
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 123376
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 17718
14.4%
u 17581
14.2%
t 17454
14.1%
n 17454
14.1%
i 17454
14.1%
R 17449
14.1%
e 17449
14.1%
l 269
 
0.2%
p 137
 
0.1%
w 132
 
0.1%
Other values (5) 279
 
0.2%
Distinct600
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size137.5 KiB
Minimum2021-01-02 00:00:00
Maximum2022-12-31 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-04-14T23:34:26.948012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:34:27.181535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Score
Real number (ℝ)

Distinct46
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.227283
Minimum0
Maximum100
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size137.5 KiB
2025-04-14T23:34:27.349875image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q187
median93
Q397
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.8762842
Coefficient of variation (CV)0.075375304
Kurtosis2.5226792
Mean91.227283
Median Absolute Deviation (MAD)4
Skewness-1.0233641
Sum1604323
Variance47.283284
MonotonicityNot monotonic
2025-04-14T23:34:27.490719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
100 1684
 
9.6%
97 1219
 
6.9%
95 1166
 
6.6%
94 1095
 
6.2%
96 1032
 
5.9%
98 1013
 
5.8%
93 965
 
5.5%
90 946
 
5.4%
92 915
 
5.2%
80 841
 
4.8%
Other values (36) 6710
38.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
44 1
 
< 0.1%
57 1
 
< 0.1%
58 2
 
< 0.1%
59 3
 
< 0.1%
60 6
< 0.1%
61 10
0.1%
62 5
< 0.1%
63 4
 
< 0.1%
64 7
< 0.1%
ValueCountFrequency (%)
100 1684
9.6%
99 677
3.8%
98 1013
5.8%
97 1219
6.9%
96 1032
5.9%
95 1166
6.6%
94 1095
6.2%
93 965
5.5%
92 915
5.2%
91 810
4.6%

Street Number
Real number (ℝ)

Distinct3115
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5445.8901
Minimum0
Maximum39779
Zeros17
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size137.5 KiB
2025-04-14T23:34:27.631169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile517
Q12292
median4101
Q38190
95-th percentile13350
Maximum39779
Range39779
Interquartile range (IQR)5898

Descriptive statistics

Standard deviation4330.8449
Coefficient of variation (CV)0.79525015
Kurtosis5.3523618
Mean5445.8901
Median Absolute Deviation (MAD)2384
Skewness1.5431942
Sum95771423
Variance18756218
MonotonicityNot monotonic
2025-04-14T23:34:27.771221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2500 130
 
0.7%
650 89
 
0.5%
400 85
 
0.5%
8687 77
 
0.4%
1201 64
 
0.4%
2201 63
 
0.4%
2222 63
 
0.4%
1515 63
 
0.4%
13350 58
 
0.3%
8008 58
 
0.3%
Other values (3105) 16836
95.7%
ValueCountFrequency (%)
0 17
0.1%
100 15
0.1%
102 10
0.1%
103 1
 
< 0.1%
105 2
 
< 0.1%
106 7
 
< 0.1%
108 1
 
< 0.1%
110 11
0.1%
111 19
0.1%
112 5
 
< 0.1%
ValueCountFrequency (%)
39779 10
0.1%
39739 4
 
< 0.1%
39718 4
 
< 0.1%
39640 6
< 0.1%
33333 1
 
< 0.1%
19304 3
 
< 0.1%
19177 3
 
< 0.1%
19160 3
 
< 0.1%
19129 6
< 0.1%
19111 3
 
< 0.1%
Distinct754
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
2025-04-14T23:34:28.074916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.9156147
Min length2

Characters and Unicode

Total characters139204
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)0.5%

Sample

1st rowBUCKNER
2nd rowCENTRAL
3rd rowWHEATLAND
4th rowBECKLEY
5th rowROSS
ValueCountFrequency (%)
northwest 537
 
2.5%
preston 501
 
2.3%
forest 427
 
2.0%
greenville 424
 
2.0%
central 400
 
1.8%
buckner 395
 
1.8%
mockingbird 320
 
1.5%
hill 320
 
1.5%
walnut 305
 
1.4%
hines 291
 
1.3%
Other values (788) 17744
81.9%
2025-04-14T23:34:28.498382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 13675
 
9.8%
R 11923
 
8.6%
N 11415
 
8.2%
L 11285
 
8.1%
A 11138
 
8.0%
O 9506
 
6.8%
T 8243
 
5.9%
S 7850
 
5.6%
I 7641
 
5.5%
M 5508
 
4.0%
Other values (32) 41020
29.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 139204
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 13675
 
9.8%
R 11923
 
8.6%
N 11415
 
8.2%
L 11285
 
8.1%
A 11138
 
8.0%
O 9506
 
6.8%
T 8243
 
5.9%
S 7850
 
5.6%
I 7641
 
5.5%
M 5508
 
4.0%
Other values (32) 41020
29.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 139204
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 13675
 
9.8%
R 11923
 
8.6%
N 11415
 
8.2%
L 11285
 
8.1%
A 11138
 
8.0%
O 9506
 
6.8%
T 8243
 
5.9%
S 7850
 
5.6%
I 7641
 
5.5%
M 5508
 
4.0%
Other values (32) 41020
29.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 139204
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 13675
 
9.8%
R 11923
 
8.6%
N 11415
 
8.2%
L 11285
 
8.1%
A 11138
 
8.0%
O 9506
 
6.8%
T 8243
 
5.9%
S 7850
 
5.6%
I 7641
 
5.5%
M 5508
 
4.0%
Other values (32) 41020
29.5%

Street Direction
Categorical

High correlation  Missing 

Distinct4
Distinct (%)0.1%
Missing11790
Missing (%)67.0%
Memory size1.0 MiB
W
1757 
N
1669 
S
1565 
E
805 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters5796
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowN
3rd rowW
4th rowN
5th rowS

Common Values

ValueCountFrequency (%)
W 1757
 
10.0%
N 1669
 
9.5%
S 1565
 
8.9%
E 805
 
4.6%
(Missing) 11790
67.0%

Length

2025-04-14T23:34:28.614538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:28.697152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
w 1757
30.3%
n 1669
28.8%
s 1565
27.0%
e 805
13.9%

Most occurring characters

ValueCountFrequency (%)
W 1757
30.3%
N 1669
28.8%
S 1565
27.0%
E 805
13.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5796
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
W 1757
30.3%
N 1669
28.8%
S 1565
27.0%
E 805
13.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5796
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
W 1757
30.3%
N 1669
28.8%
S 1565
27.0%
E 805
13.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5796
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
W 1757
30.3%
N 1669
28.8%
S 1565
27.0%
E 805
13.9%

Street Type
Categorical

High correlation  Missing 

Distinct19
Distinct (%)0.1%
Missing363
Missing (%)2.1%
Memory size1.0 MiB
RD
4344 
AVE
3142 
ST
2599 
LN
1838 
BLVD
1684 
Other values (14)
3616 

Length

Max length4
Median length2
Mean length2.6009987
Min length2

Characters and Unicode

Total characters44797
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBLVD
2nd rowEXPW
3rd rowRD
4th rowAVE
5th rowAVE

Common Values

ValueCountFrequency (%)
RD 4344
24.7%
AVE 3142
17.9%
ST 2599
14.8%
LN 1838
10.5%
BLVD 1684
 
9.6%
DR 1205
 
6.9%
FRWY 696
 
4.0%
HWY 537
 
3.1%
EXPW 407
 
2.3%
PKWY 377
 
2.1%
Other values (9) 394
 
2.2%
(Missing) 363
 
2.1%

Length

2025-04-14T23:34:28.797736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rd 4344
25.2%
ave 3142
18.2%
st 2599
15.1%
ln 1838
10.7%
blvd 1684
 
9.8%
dr 1205
 
7.0%
frwy 696
 
4.0%
hwy 537
 
3.1%
expw 407
 
2.4%
pkwy 377
 
2.2%
Other values (9) 394
 
2.3%

Most occurring characters

ValueCountFrequency (%)
D 7233
16.1%
R 6340
14.2%
V 4826
10.8%
E 3630
8.1%
L 3580
8.0%
A 3257
7.3%
T 2789
 
6.2%
S 2609
 
5.8%
W 2181
 
4.9%
N 1838
 
4.1%
Other values (11) 6514
14.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 44797
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 7233
16.1%
R 6340
14.2%
V 4826
10.8%
E 3630
8.1%
L 3580
8.0%
A 3257
7.3%
T 2789
 
6.2%
S 2609
 
5.8%
W 2181
 
4.9%
N 1838
 
4.1%
Other values (11) 6514
14.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 44797
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 7233
16.1%
R 6340
14.2%
V 4826
10.8%
E 3630
8.1%
L 3580
8.0%
A 3257
7.3%
T 2789
 
6.2%
S 2609
 
5.8%
W 2181
 
4.9%
N 1838
 
4.1%
Other values (11) 6514
14.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 44797
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 7233
16.1%
R 6340
14.2%
V 4826
10.8%
E 3630
8.1%
L 3580
8.0%
A 3257
7.3%
T 2789
 
6.2%
S 2609
 
5.8%
W 2181
 
4.9%
N 1838
 
4.1%
Other values (11) 6514
14.5%

Street Unit
Text

Missing 

Distinct762
Distinct (%)12.4%
Missing11438
Missing (%)65.0%
Memory size722.8 KiB
2025-04-14T23:34:29.180511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8357189
Min length1

Characters and Unicode

Total characters23582
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)2.8%

Sample

1st row#3000
2nd row#5015
3rd row#120
4th row#107
5th row#180
ValueCountFrequency (%)
100 674
 
10.9%
110 252
 
4.1%
a 239
 
3.9%
101 209
 
3.4%
b 168
 
2.7%
102 147
 
2.4%
120 131
 
2.1%
200 117
 
1.9%
300 111
 
1.8%
103 110
 
1.8%
Other values (683) 4026
65.1%
2025-04-14T23:34:29.708558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 5591
23.7%
0 5182
22.0%
1 4940
20.9%
2 1691
 
7.2%
3 1131
 
4.8%
5 942
 
4.0%
4 739
 
3.1%
6 556
 
2.4%
8 473
 
2.0%
7 459
 
1.9%
Other values (26) 1878
 
8.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23582
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
# 5591
23.7%
0 5182
22.0%
1 4940
20.9%
2 1691
 
7.2%
3 1131
 
4.8%
5 942
 
4.0%
4 739
 
3.1%
6 556
 
2.4%
8 473
 
2.0%
7 459
 
1.9%
Other values (26) 1878
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23582
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
# 5591
23.7%
0 5182
22.0%
1 4940
20.9%
2 1691
 
7.2%
3 1131
 
4.8%
5 942
 
4.0%
4 739
 
3.1%
6 556
 
2.4%
8 473
 
2.0%
7 459
 
1.9%
Other values (26) 1878
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23582
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
# 5591
23.7%
0 5182
22.0%
1 4940
20.9%
2 1691
 
7.2%
3 1131
 
4.8%
5 942
 
4.0%
4 739
 
3.1%
6 556
 
2.4%
8 473
 
2.0%
7 459
 
1.9%
Other values (26) 1878
 
8.0%
Distinct6220
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
2025-04-14T23:34:30.424935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length36
Median length31
Mean length18.970204
Min length10

Characters and Unicode

Total characters333610
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1626 ?
Unique (%)9.2%

Sample

1st row5555 S BUCKNER BLVD
2nd row8687 N CENTRAL EXPW #3000
3rd row2900 W WHEATLAND RD
4th row1441 N BECKLEY AVE
5th row4800 ROSS AVE
ValueCountFrequency (%)
rd 4350
 
6.3%
ave 3144
 
4.6%
st 2685
 
3.9%
ln 1848
 
2.7%
w 1784
 
2.6%
blvd 1689
 
2.4%
n 1669
 
2.4%
s 1567
 
2.3%
dr 1205
 
1.7%
e 847
 
1.2%
Other values (4438) 48177
69.9%
2025-04-14T23:34:30.891812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51379
 
15.4%
E 18550
 
5.6%
R 18339
 
5.5%
1 17605
 
5.3%
0 17224
 
5.2%
L 15064
 
4.5%
N 14943
 
4.5%
A 14848
 
4.5%
S 12387
 
3.7%
T 11432
 
3.4%
Other values (35) 141839
42.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 333610
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
51379
 
15.4%
E 18550
 
5.6%
R 18339
 
5.5%
1 17605
 
5.3%
0 17224
 
5.2%
L 15064
 
4.5%
N 14943
 
4.5%
A 14848
 
4.5%
S 12387
 
3.7%
T 11432
 
3.4%
Other values (35) 141839
42.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 333610
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
51379
 
15.4%
E 18550
 
5.6%
R 18339
 
5.5%
1 17605
 
5.3%
0 17224
 
5.2%
L 15064
 
4.5%
N 14943
 
4.5%
A 14848
 
4.5%
S 12387
 
3.7%
T 11432
 
3.4%
Other values (35) 141839
42.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 333610
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
51379
 
15.4%
E 18550
 
5.6%
R 18339
 
5.5%
1 17605
 
5.3%
0 17224
 
5.2%
L 15064
 
4.5%
N 14943
 
4.5%
A 14848
 
4.5%
S 12387
 
3.7%
T 11432
 
3.4%
Other values (35) 141839
42.5%
Distinct135
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.0 MiB
2025-04-14T23:34:31.163341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0265552
Min length5

Characters and Unicode

Total characters88397
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.1%

Sample

1st row75227
2nd row75225
3rd row75237
4th row75208
5th row75204
ValueCountFrequency (%)
75201 999
 
5.7%
75220 817
 
4.6%
75206 728
 
4.1%
75217 727
 
4.1%
75211 685
 
3.9%
75219 641
 
3.6%
75243 614
 
3.5%
75228 601
 
3.4%
75231 596
 
3.4%
75204 562
 
3.2%
Other values (125) 10616
60.4%
2025-04-14T23:34:31.541127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 22375
25.3%
7 19977
22.6%
5 19367
21.9%
1 6473
 
7.3%
0 6262
 
7.1%
4 4097
 
4.6%
3 3942
 
4.5%
8 2461
 
2.8%
6 1750
 
2.0%
9 1610
 
1.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 88397
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 22375
25.3%
7 19977
22.6%
5 19367
21.9%
1 6473
 
7.3%
0 6262
 
7.1%
4 4097
 
4.6%
3 3942
 
4.5%
8 2461
 
2.8%
6 1750
 
2.0%
9 1610
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 88397
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 22375
25.3%
7 19977
22.6%
5 19367
21.9%
1 6473
 
7.3%
0 6262
 
7.1%
4 4097
 
4.6%
3 3942
 
4.5%
8 2461
 
2.8%
6 1750
 
2.0%
9 1610
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 88397
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 22375
25.3%
7 19977
22.6%
5 19367
21.9%
1 6473
 
7.3%
0 6262
 
7.1%
4 4097
 
4.6%
3 3942
 
4.5%
8 2461
 
2.8%
6 1750
 
2.0%
9 1610
 
1.8%
Distinct418
Distinct (%)2.6%
Missing1687
Missing (%)9.6%
Memory size1.6 MiB
2025-04-14T23:34:31.860228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length92
Mean length42.993522
Min length12

Characters and Unicode

Total characters683554
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)0.6%

Sample

1st row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
2nd row*07 Food safe, good condition, unadulterated, and honestly presented
3rd row*31 No soap at handsink
4th row*42 Dirty nonfood contact surfaces
5th row*47 Other Violations
ValueCountFrequency (%)
4122
 
3.7%
food 3723
 
3.3%
and 2541
 
2.3%
10 2070
 
1.8%
not 1956
 
1.7%
in 1949
 
1.7%
or 1753
 
1.6%
rfsm 1623
 
1.4%
21 1606
 
1.4%
clean 1540
 
1.4%
Other values (964) 89163
79.6%
2025-04-14T23:34:32.317356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97952
14.3%
e 51829
 
7.6%
o 50544
 
7.4%
n 40341
 
5.9%
t 39858
 
5.8%
i 38009
 
5.6%
a 36069
 
5.3%
r 29909
 
4.4%
s 29449
 
4.3%
d 25520
 
3.7%
Other values (71) 244074
35.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 683554
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
97952
14.3%
e 51829
 
7.6%
o 50544
 
7.4%
n 40341
 
5.9%
t 39858
 
5.8%
i 38009
 
5.6%
a 36069
 
5.3%
r 29909
 
4.4%
s 29449
 
4.3%
d 25520
 
3.7%
Other values (71) 244074
35.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 683554
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
97952
14.3%
e 51829
 
7.6%
o 50544
 
7.4%
n 40341
 
5.9%
t 39858
 
5.8%
i 38009
 
5.6%
a 36069
 
5.3%
r 29909
 
4.4%
s 29449
 
4.3%
d 25520
 
3.7%
Other values (71) 244074
35.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 683554
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
97952
14.3%
e 51829
 
7.6%
o 50544
 
7.4%
n 40341
 
5.9%
t 39858
 
5.8%
i 38009
 
5.6%
a 36069
 
5.3%
r 29909
 
4.4%
s 29449
 
4.3%
d 25520
 
3.7%
Other values (71) 244074
35.7%

Violation Points - 1
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing1687
Missing (%)9.6%
Memory size1.0 MiB
3.0
6487 
1.0
5215 
2.0
4197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters47697
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 6487
36.9%
1.0 5215
29.7%
2.0 4197
23.9%
(Missing) 1687
 
9.6%

Length

2025-04-14T23:34:32.429188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:32.498890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 6487
40.8%
1.0 5215
32.8%
2.0 4197
26.4%

Most occurring characters

ValueCountFrequency (%)
. 15899
33.3%
0 15899
33.3%
3 6487
13.6%
1 5215
 
10.9%
2 4197
 
8.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 47697
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 15899
33.3%
0 15899
33.3%
3 6487
13.6%
1 5215
 
10.9%
2 4197
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 47697
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 15899
33.3%
0 15899
33.3%
3 6487
13.6%
1 5215
 
10.9%
2 4197
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 47697
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 15899
33.3%
0 15899
33.3%
3 6487
13.6%
1 5215
 
10.9%
2 4197
 
8.8%

Violation Detail - 1
Text

Missing 

Distinct428
Distinct (%)2.7%
Missing1852
Missing (%)10.5%
Memory size7.5 MiB
2025-04-14T23:34:32.749066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length739
Mean length371.68654
Min length125

Characters and Unicode

Total characters5848116
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)0.6%

Sample

1st row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
2nd row228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.
3rd row228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 45412
 
5.6%
food 34289
 
4.2%
of 27985
 
3.5%
the 26443
 
3.3%
a 21141
 
2.6%
in 18476
 
2.3%
shall 17928
 
2.2%
equipment 16081
 
2.0%
be 15615
 
1.9%
or 14285
 
1.8%
Other values (2136) 572150
70.7%
2025-04-14T23:34:33.202457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1192130
20.4%
e 501765
 
8.6%
a 340807
 
5.8%
n 334292
 
5.7%
t 332801
 
5.7%
i 331272
 
5.7%
o 317271
 
5.4%
s 306068
 
5.2%
r 237974
 
4.1%
d 199096
 
3.4%
Other values (63) 1754640
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5848116
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1192130
20.4%
e 501765
 
8.6%
a 340807
 
5.8%
n 334292
 
5.7%
t 332801
 
5.7%
i 331272
 
5.7%
o 317271
 
5.4%
s 306068
 
5.2%
r 237974
 
4.1%
d 199096
 
3.4%
Other values (63) 1754640
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5848116
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1192130
20.4%
e 501765
 
8.6%
a 340807
 
5.8%
n 334292
 
5.7%
t 332801
 
5.7%
i 331272
 
5.7%
o 317271
 
5.4%
s 306068
 
5.2%
r 237974
 
4.1%
d 199096
 
3.4%
Other values (63) 1754640
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5848116
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1192130
20.4%
e 501765
 
8.6%
a 340807
 
5.8%
n 334292
 
5.7%
t 332801
 
5.7%
i 331272
 
5.7%
o 317271
 
5.4%
s 306068
 
5.2%
r 237974
 
4.1%
d 199096
 
3.4%
Other values (63) 1754640
30.0%

Violation Memo - 1
Text

Missing 

Distinct10722
Distinct (%)81.8%
Missing4471
Missing (%)25.4%
Memory size1.5 MiB
2025-04-14T23:34:33.569186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1389
Median length349
Mean length48.474647
Min length1

Characters and Unicode

Total characters635745
Distinct characters93
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9933 ?
Unique (%)75.7%

Sample

1st rowlow concentration at sanitizer bucket with100 ppm must be maintain at: 200- 400 ppm Quat concentration
2nd rowRemove dented cans
3rd rowClean handles of machinery and spills
4th rowMissing hand wash signs in banquet restrooms
5th rowObserved dirty interior ice machine panel
ValueCountFrequency (%)
in 3060
 
2.8%
observed 2158
 
2.0%
at 2113
 
1.9%
on 2042
 
1.9%
and 2016
 
1.9%
of 1946
 
1.8%
food 1885
 
1.7%
clean 1844
 
1.7%
the 1798
 
1.7%
to 1382
 
1.3%
Other values (5207) 88407
81.4%
2025-04-14T23:34:34.098104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99304
 
15.6%
e 49370
 
7.8%
o 32023
 
5.0%
a 29784
 
4.7%
i 27804
 
4.4%
r 27509
 
4.3%
t 27150
 
4.3%
n 27005
 
4.2%
s 24783
 
3.9%
d 18203
 
2.9%
Other values (83) 272810
42.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 635745
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
99304
 
15.6%
e 49370
 
7.8%
o 32023
 
5.0%
a 29784
 
4.7%
i 27804
 
4.4%
r 27509
 
4.3%
t 27150
 
4.3%
n 27005
 
4.2%
s 24783
 
3.9%
d 18203
 
2.9%
Other values (83) 272810
42.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 635745
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
99304
 
15.6%
e 49370
 
7.8%
o 32023
 
5.0%
a 29784
 
4.7%
i 27804
 
4.4%
r 27509
 
4.3%
t 27150
 
4.3%
n 27005
 
4.2%
s 24783
 
3.9%
d 18203
 
2.9%
Other values (83) 272810
42.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 635745
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
99304
 
15.6%
e 49370
 
7.8%
o 32023
 
5.0%
a 29784
 
4.7%
i 27804
 
4.4%
r 27509
 
4.3%
t 27150
 
4.3%
n 27005
 
4.2%
s 24783
 
3.9%
d 18203
 
2.9%
Other values (83) 272810
42.9%
Distinct411
Distinct (%)2.9%
Missing3447
Missing (%)19.6%
Memory size1.5 MiB
2025-04-14T23:34:34.341271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length87
Mean length43.491265
Min length12

Characters and Unicode

Total characters614923
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)0.7%

Sample

1st row*45 Premises shall be maintained in good repair
2nd row*31 Handwashing lavatory - used for other purpose
3rd row*19 Water & Plumbing in good repair- per code
4th row*47 Health permit posted
5th row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
3539
 
3.6%
food 3332
 
3.4%
and 1757
 
1.8%
in 1717
 
1.7%
not 1554
 
1.6%
10 1265
 
1.3%
42 1215
 
1.2%
21 1209
 
1.2%
rfsm 1191
 
1.2%
on 1170
 
1.2%
Other values (943) 81144
81.9%
2025-04-14T23:34:34.722289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86569
14.1%
e 48072
 
7.8%
o 44447
 
7.2%
n 37581
 
6.1%
t 36770
 
6.0%
i 36364
 
5.9%
a 32325
 
5.3%
s 29259
 
4.8%
r 28016
 
4.6%
d 21608
 
3.5%
Other values (72) 213912
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 614923
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
86569
14.1%
e 48072
 
7.8%
o 44447
 
7.2%
n 37581
 
6.1%
t 36770
 
6.0%
i 36364
 
5.9%
a 32325
 
5.3%
s 29259
 
4.8%
r 28016
 
4.6%
d 21608
 
3.5%
Other values (72) 213912
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 614923
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
86569
14.1%
e 48072
 
7.8%
o 44447
 
7.2%
n 37581
 
6.1%
t 36770
 
6.0%
i 36364
 
5.9%
a 32325
 
5.3%
s 29259
 
4.8%
r 28016
 
4.6%
d 21608
 
3.5%
Other values (72) 213912
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 614923
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
86569
14.1%
e 48072
 
7.8%
o 44447
 
7.2%
n 37581
 
6.1%
t 36770
 
6.0%
i 36364
 
5.9%
a 32325
 
5.3%
s 29259
 
4.8%
r 28016
 
4.6%
d 21608
 
3.5%
Other values (72) 213912
34.8%

Violation Points - 2
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing3447
Missing (%)19.6%
Memory size1.0 MiB
1.0
5898 
3.0
4185 
2.0
4055 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters42417
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row2.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5898
33.5%
3.0 4185
23.8%
2.0 4055
23.1%
4.0 1
 
< 0.1%
(Missing) 3447
19.6%

Length

2025-04-14T23:34:34.839002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:34.911073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5898
41.7%
3.0 4185
29.6%
2.0 4055
28.7%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 14139
33.3%
0 14139
33.3%
1 5898
13.9%
3 4185
 
9.9%
2 4055
 
9.6%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42417
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 14139
33.3%
0 14139
33.3%
1 5898
13.9%
3 4185
 
9.9%
2 4055
 
9.6%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42417
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 14139
33.3%
0 14139
33.3%
1 5898
13.9%
3 4185
 
9.9%
2 4055
 
9.6%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42417
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 14139
33.3%
0 14139
33.3%
1 5898
13.9%
3 4185
 
9.9%
2 4055
 
9.6%
4 1
 
< 0.1%

Violation Detail - 2
Text

Missing 

Distinct418
Distinct (%)3.0%
Missing3625
Missing (%)20.6%
Memory size6.6 MiB
2025-04-14T23:34:35.181530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length703
Mean length362.33472
Min length125

Characters and Unicode

Total characters5058555
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)0.8%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
2nd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
3rd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
4th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
and 38882
 
5.6%
food 29358
 
4.2%
of 24391
 
3.5%
the 23180
 
3.3%
a 18991
 
2.7%
shall 15958
 
2.3%
in 15654
 
2.2%
equipment 14401
 
2.1%
be 13955
 
2.0%
or 11394
 
1.6%
Other values (2111) 492624
70.5%
2025-04-14T23:34:35.645713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1023512
20.2%
e 433703
 
8.6%
a 294735
 
5.8%
n 293456
 
5.8%
i 291605
 
5.8%
t 286292
 
5.7%
o 271378
 
5.4%
s 269761
 
5.3%
r 203784
 
4.0%
d 171202
 
3.4%
Other values (65) 1519127
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5058555
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1023512
20.2%
e 433703
 
8.6%
a 294735
 
5.8%
n 293456
 
5.8%
i 291605
 
5.8%
t 286292
 
5.7%
o 271378
 
5.4%
s 269761
 
5.3%
r 203784
 
4.0%
d 171202
 
3.4%
Other values (65) 1519127
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5058555
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1023512
20.2%
e 433703
 
8.6%
a 294735
 
5.8%
n 293456
 
5.8%
i 291605
 
5.8%
t 286292
 
5.7%
o 271378
 
5.4%
s 269761
 
5.3%
r 203784
 
4.0%
d 171202
 
3.4%
Other values (65) 1519127
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5058555
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1023512
20.2%
e 433703
 
8.6%
a 294735
 
5.8%
n 293456
 
5.8%
i 291605
 
5.8%
t 286292
 
5.7%
o 271378
 
5.4%
s 269761
 
5.3%
r 203784
 
4.0%
d 171202
 
3.4%
Other values (65) 1519127
30.0%

Violation Memo - 2
Text

Missing 

Distinct9668
Distinct (%)83.6%
Missing6015
Missing (%)34.2%
Memory size1.3 MiB
2025-04-14T23:34:35.967151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1715
Median length270
Mean length47.460634
Min length1

Characters and Unicode

Total characters549167
Distinct characters94
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8939 ?
Unique (%)77.3%

Sample

1st rowReplace lights under vent hood
2nd rowObserved rinsing personal coffee mug in hand sink
3rd rowFix the plumbing at the hand sink
4th rowNOT POSTED
5th rowclean shelves in walk in freezer-ice build up on, clean fan covers in walk in cooler
ValueCountFrequency (%)
in 2883
 
3.1%
on 1999
 
2.2%
observed 1882
 
2.0%
food 1832
 
2.0%
and 1722
 
1.9%
of 1601
 
1.7%
clean 1596
 
1.7%
the 1592
 
1.7%
at 1413
 
1.5%
to 1218
 
1.3%
Other values (4398) 75213
80.9%
2025-04-14T23:34:36.441097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84742
 
15.4%
e 41956
 
7.6%
o 28203
 
5.1%
a 25120
 
4.6%
i 24119
 
4.4%
n 23754
 
4.3%
r 23742
 
4.3%
t 23439
 
4.3%
s 21713
 
4.0%
d 15441
 
2.8%
Other values (84) 236938
43.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 549167
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
84742
 
15.4%
e 41956
 
7.6%
o 28203
 
5.1%
a 25120
 
4.6%
i 24119
 
4.4%
n 23754
 
4.3%
r 23742
 
4.3%
t 23439
 
4.3%
s 21713
 
4.0%
d 15441
 
2.8%
Other values (84) 236938
43.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 549167
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
84742
 
15.4%
e 41956
 
7.6%
o 28203
 
5.1%
a 25120
 
4.6%
i 24119
 
4.4%
n 23754
 
4.3%
r 23742
 
4.3%
t 23439
 
4.3%
s 21713
 
4.0%
d 15441
 
2.8%
Other values (84) 236938
43.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 549167
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
84742
 
15.4%
e 41956
 
7.6%
o 28203
 
5.1%
a 25120
 
4.6%
i 24119
 
4.4%
n 23754
 
4.3%
r 23742
 
4.3%
t 23439
 
4.3%
s 21713
 
4.0%
d 15441
 
2.8%
Other values (84) 236938
43.1%
Distinct403
Distinct (%)3.3%
Missing5509
Missing (%)31.3%
Memory size1.4 MiB
2025-04-14T23:34:36.663814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length91
Mean length43.896746
Min length12

Characters and Unicode

Total characters530141
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)0.8%

Sample

1st row*38 Thawing. under running water criteria
2nd row*14 When to wash hands before donning new gloves
3rd row*20 Grease Trap Tickets
4th row*28 Original cont. of RTE/PHF/Day1= day of opening
5th row*47 Health permit posted
ValueCountFrequency (%)
food 2901
 
3.4%
2843
 
3.4%
in 1488
 
1.8%
and 1261
 
1.5%
not 1184
 
1.4%
42 1093
 
1.3%
or 1085
 
1.3%
dirty 1045
 
1.2%
rfsm 931
 
1.1%
21 929
 
1.1%
Other values (927) 69835
82.6%
2025-04-14T23:34:37.046289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73782
13.9%
e 42017
 
7.9%
o 38172
 
7.2%
n 32153
 
6.1%
i 31681
 
6.0%
t 31535
 
5.9%
a 27220
 
5.1%
s 26539
 
5.0%
r 24236
 
4.6%
d 18471
 
3.5%
Other values (71) 184335
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 530141
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
73782
13.9%
e 42017
 
7.9%
o 38172
 
7.2%
n 32153
 
6.1%
i 31681
 
6.0%
t 31535
 
5.9%
a 27220
 
5.1%
s 26539
 
5.0%
r 24236
 
4.6%
d 18471
 
3.5%
Other values (71) 184335
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 530141
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
73782
13.9%
e 42017
 
7.9%
o 38172
 
7.2%
n 32153
 
6.1%
i 31681
 
6.0%
t 31535
 
5.9%
a 27220
 
5.1%
s 26539
 
5.0%
r 24236
 
4.6%
d 18471
 
3.5%
Other values (71) 184335
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 530141
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
73782
13.9%
e 42017
 
7.9%
o 38172
 
7.2%
n 32153
 
6.1%
i 31681
 
6.0%
t 31535
 
5.9%
a 27220
 
5.1%
s 26539
 
5.0%
r 24236
 
4.6%
d 18471
 
3.5%
Other values (71) 184335
34.8%

Violation Points - 3
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing5509
Missing (%)31.3%
Memory size1.0 MiB
1.0
5646 
2.0
3656 
3.0
2773 
4.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters36231
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5646
32.1%
2.0 3656
20.8%
3.0 2773
15.8%
4.0 2
 
< 0.1%
(Missing) 5509
31.3%

Length

2025-04-14T23:34:37.150891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:37.221229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5646
46.8%
2.0 3656
30.3%
3.0 2773
23.0%
4.0 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 12077
33.3%
0 12077
33.3%
1 5646
15.6%
2 3656
 
10.1%
3 2773
 
7.7%
4 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 36231
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 12077
33.3%
0 12077
33.3%
1 5646
15.6%
2 3656
 
10.1%
3 2773
 
7.7%
4 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 36231
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 12077
33.3%
0 12077
33.3%
1 5646
15.6%
2 3656
 
10.1%
3 2773
 
7.7%
4 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 36231
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 12077
33.3%
0 12077
33.3%
1 5646
15.6%
2 3656
 
10.1%
3 2773
 
7.7%
4 2
 
< 0.1%

Violation Detail - 3
Text

Missing 

Distinct411
Distinct (%)3.4%
Missing5653
Missing (%)32.1%
Memory size5.7 MiB
2025-04-14T23:34:37.655192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1043
Median length684
Mean length362.87019
Min length125

Characters and Unicode

Total characters4330130
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)0.8%

Sample

1st row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water:
2nd row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
3rd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (1) Except when packaging food using a reduced oxygen packaging method as specified in õ228.77 of this title, and except as specified in paragraphs (5) and (6) of this subsection, refrigerated, ready-to-eat, TCS food prepared and held in a food establishment for more than 24 hours shall be clearly marked to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded when held at a temperature of 5 degrees Celsius (41 degrees Fahrenheit) or less for a maximum of 7 days. The day of preparation shall be counted as day 1.
5th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.
ValueCountFrequency (%)
and 32678
 
5.5%
food 25119
 
4.2%
of 21194
 
3.5%
the 20239
 
3.4%
a 16473
 
2.8%
shall 13556
 
2.3%
in 13161
 
2.2%
equipment 11924
 
2.0%
be 11923
 
2.0%
or 9851
 
1.6%
Other values (2091) 422658
70.6%
2025-04-14T23:34:38.335509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877938
20.3%
e 373732
 
8.6%
a 251562
 
5.8%
i 250126
 
5.8%
n 249380
 
5.8%
t 244706
 
5.7%
s 232014
 
5.4%
o 231466
 
5.3%
r 175839
 
4.1%
d 146584
 
3.4%
Other values (64) 1296783
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4330130
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
877938
20.3%
e 373732
 
8.6%
a 251562
 
5.8%
i 250126
 
5.8%
n 249380
 
5.8%
t 244706
 
5.7%
s 232014
 
5.4%
o 231466
 
5.3%
r 175839
 
4.1%
d 146584
 
3.4%
Other values (64) 1296783
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4330130
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
877938
20.3%
e 373732
 
8.6%
a 251562
 
5.8%
i 250126
 
5.8%
n 249380
 
5.8%
t 244706
 
5.7%
s 232014
 
5.4%
o 231466
 
5.3%
r 175839
 
4.1%
d 146584
 
3.4%
Other values (64) 1296783
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4330130
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
877938
20.3%
e 373732
 
8.6%
a 251562
 
5.8%
i 250126
 
5.8%
n 249380
 
5.8%
t 244706
 
5.7%
s 232014
 
5.4%
o 231466
 
5.3%
r 175839
 
4.1%
d 146584
 
3.4%
Other values (64) 1296783
29.9%

Violation Memo - 3
Text

Missing 

Distinct8264
Distinct (%)83.8%
Missing7726
Missing (%)43.9%
Memory size1.2 MiB
2025-04-14T23:34:38.783289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1409
Median length299
Mean length47.735193
Min length2

Characters and Unicode

Total characters470669
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7647 ?
Unique (%)77.6%

Sample

1st rowObserved frozen berries and chicken patties thawing in bags on prep table at ambient temperature. When thawing foods, use refrigeration or completely submerge under cool running water
2nd rowMust datemark items held longer than 24 hrs for no more than 7 days.
3rd rowprovide health permit
4th rowClean floor of beer WIC
5th rowobserved raw chicken store next to raw meat, sausage raw turkey store next to raw meat
ValueCountFrequency (%)
in 2413
 
3.1%
on 1702
 
2.2%
food 1656
 
2.1%
observed 1586
 
2.0%
and 1461
 
1.8%
the 1449
 
1.8%
of 1321
 
1.7%
clean 1320
 
1.7%
to 1086
 
1.4%
provide 1043
 
1.3%
Other values (3870) 63983
81.0%
2025-04-14T23:34:39.495071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72297
 
15.4%
e 35655
 
7.6%
o 24696
 
5.2%
a 21059
 
4.5%
n 20581
 
4.4%
i 20384
 
4.3%
r 20375
 
4.3%
t 19945
 
4.2%
s 19104
 
4.1%
d 13294
 
2.8%
Other values (86) 203279
43.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 470669
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
72297
 
15.4%
e 35655
 
7.6%
o 24696
 
5.2%
a 21059
 
4.5%
n 20581
 
4.4%
i 20384
 
4.3%
r 20375
 
4.3%
t 19945
 
4.2%
s 19104
 
4.1%
d 13294
 
2.8%
Other values (86) 203279
43.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 470669
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
72297
 
15.4%
e 35655
 
7.6%
o 24696
 
5.2%
a 21059
 
4.5%
n 20581
 
4.4%
i 20384
 
4.3%
r 20375
 
4.3%
t 19945
 
4.2%
s 19104
 
4.1%
d 13294
 
2.8%
Other values (86) 203279
43.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 470669
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
72297
 
15.4%
e 35655
 
7.6%
o 24696
 
5.2%
a 21059
 
4.5%
n 20581
 
4.4%
i 20384
 
4.3%
r 20375
 
4.3%
t 19945
 
4.2%
s 19104
 
4.1%
d 13294
 
2.8%
Other values (86) 203279
43.2%
Distinct388
Distinct (%)3.9%
Missing7533
Missing (%)42.8%
Memory size1.2 MiB
2025-04-14T23:34:39.821014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length43.959316
Min length12

Characters and Unicode

Total characters441923
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.1%

Sample

1st row*28 Date marking > 24 hrs,on site,temp 41F
2nd row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
3rd row*47 Other Violations
4th row*45 Premises shall be maintained in good repair
5th row*45Floor, wall, ceiling - Exposed material
ValueCountFrequency (%)
food 2378
 
3.4%
2253
 
3.2%
in 1221
 
1.7%
and 949
 
1.4%
42 931
 
1.3%
or 923
 
1.3%
dirty 888
 
1.3%
not 846
 
1.2%
equipment 789
 
1.1%
for 788
 
1.1%
Other values (932) 58276
83.0%
2025-04-14T23:34:40.283102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61243
 
13.9%
e 35012
 
7.9%
o 31686
 
7.2%
i 26974
 
6.1%
n 26892
 
6.1%
t 26144
 
5.9%
s 22419
 
5.1%
a 22376
 
5.1%
r 20298
 
4.6%
d 15186
 
3.4%
Other values (71) 153693
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 441923
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
61243
 
13.9%
e 35012
 
7.9%
o 31686
 
7.2%
i 26974
 
6.1%
n 26892
 
6.1%
t 26144
 
5.9%
s 22419
 
5.1%
a 22376
 
5.1%
r 20298
 
4.6%
d 15186
 
3.4%
Other values (71) 153693
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 441923
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
61243
 
13.9%
e 35012
 
7.9%
o 31686
 
7.2%
i 26974
 
6.1%
n 26892
 
6.1%
t 26144
 
5.9%
s 22419
 
5.1%
a 22376
 
5.1%
r 20298
 
4.6%
d 15186
 
3.4%
Other values (71) 153693
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 441923
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
61243
 
13.9%
e 35012
 
7.9%
o 31686
 
7.2%
i 26974
 
6.1%
n 26892
 
6.1%
t 26144
 
5.9%
s 22419
 
5.1%
a 22376
 
5.1%
r 20298
 
4.6%
d 15186
 
3.4%
Other values (71) 153693
34.8%

Violation Points - 4
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing7533
Missing (%)42.8%
Memory size1.0 MiB
1.0
5067 
2.0
2910 
3.0
2076 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30159
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5067
28.8%
2.0 2910
 
16.5%
3.0 2076
 
11.8%
(Missing) 7533
42.8%

Length

2025-04-14T23:34:40.382991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:40.454741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5067
50.4%
2.0 2910
28.9%
3.0 2076
20.7%

Most occurring characters

ValueCountFrequency (%)
. 10053
33.3%
0 10053
33.3%
1 5067
16.8%
2 2910
 
9.6%
3 2076
 
6.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30159
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 10053
33.3%
0 10053
33.3%
1 5067
16.8%
2 2910
 
9.6%
3 2076
 
6.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30159
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 10053
33.3%
0 10053
33.3%
1 5067
16.8%
2 2910
 
9.6%
3 2076
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30159
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 10053
33.3%
0 10053
33.3%
1 5067
16.8%
2 2910
 
9.6%
3 2076
 
6.9%

Violation Detail - 4
Text

Missing 

Distinct393
Distinct (%)4.0%
Missing7665
Missing (%)43.6%
Memory size4.8 MiB
2025-04-14T23:34:40.719633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length694
Mean length360.22457
Min length125

Characters and Unicode

Total characters3573788
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)1.1%

Sample

1st row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
2nd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (1) except as specified in subsection (a) of this section, in the food with their handles above the top of the food and the container;
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
4th row(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;
5th row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.
ValueCountFrequency (%)
and 26953
 
5.5%
food 20375
 
4.1%
of 17331
 
3.5%
the 16549
 
3.4%
a 13635
 
2.8%
shall 11216
 
2.3%
in 10927
 
2.2%
be 10024
 
2.0%
equipment 9980
 
2.0%
or 8210
 
1.7%
Other values (2040) 348651
70.6%
2025-04-14T23:34:41.162349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
728087
20.4%
e 306519
 
8.6%
i 208133
 
5.8%
a 206392
 
5.8%
n 206236
 
5.8%
t 201696
 
5.6%
s 192339
 
5.4%
o 191377
 
5.4%
r 143687
 
4.0%
d 120289
 
3.4%
Other values (64) 1069033
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3573788
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
728087
20.4%
e 306519
 
8.6%
i 208133
 
5.8%
a 206392
 
5.8%
n 206236
 
5.8%
t 201696
 
5.6%
s 192339
 
5.4%
o 191377
 
5.4%
r 143687
 
4.0%
d 120289
 
3.4%
Other values (64) 1069033
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3573788
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
728087
20.4%
e 306519
 
8.6%
i 208133
 
5.8%
a 206392
 
5.8%
n 206236
 
5.8%
t 201696
 
5.6%
s 192339
 
5.4%
o 191377
 
5.4%
r 143687
 
4.0%
d 120289
 
3.4%
Other values (64) 1069033
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3573788
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
728087
20.4%
e 306519
 
8.6%
i 208133
 
5.8%
a 206392
 
5.8%
n 206236
 
5.8%
t 201696
 
5.6%
s 192339
 
5.4%
o 191377
 
5.4%
r 143687
 
4.0%
d 120289
 
3.4%
Other values (64) 1069033
29.9%

Violation Memo - 4
Text

Missing 

Distinct6989
Distinct (%)84.8%
Missing9347
Missing (%)53.2%
Memory size1.1 MiB
2025-04-14T23:34:41.463113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1312
Median length231
Mean length47.004855
Min length1

Characters and Unicode

Total characters387273
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6498 ?
Unique (%)78.9%

Sample

1st rowProvide date marking for the chicken and ham
2nd rowObserved scoop handle touching food.
3rd rowPost proper signage
4th rowRepair/Replace ceiling tiles
5th rowFix the broken tiles on the baseboard
ValueCountFrequency (%)
in 2169
 
3.3%
food 1480
 
2.3%
on 1381
 
2.1%
observed 1281
 
2.0%
and 1190
 
1.8%
clean 1143
 
1.8%
the 1131
 
1.7%
of 962
 
1.5%
provide 862
 
1.3%
to 794
 
1.2%
Other values (3473) 52885
81.0%
2025-04-14T23:34:41.923912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59188
 
15.3%
e 29170
 
7.5%
o 20447
 
5.3%
a 17254
 
4.5%
n 16959
 
4.4%
r 16805
 
4.3%
i 16431
 
4.2%
t 16154
 
4.2%
s 15568
 
4.0%
d 10903
 
2.8%
Other values (81) 168394
43.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 387273
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
59188
 
15.3%
e 29170
 
7.5%
o 20447
 
5.3%
a 17254
 
4.5%
n 16959
 
4.4%
r 16805
 
4.3%
i 16431
 
4.2%
t 16154
 
4.2%
s 15568
 
4.0%
d 10903
 
2.8%
Other values (81) 168394
43.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 387273
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
59188
 
15.3%
e 29170
 
7.5%
o 20447
 
5.3%
a 17254
 
4.5%
n 16959
 
4.4%
r 16805
 
4.3%
i 16431
 
4.2%
t 16154
 
4.2%
s 15568
 
4.0%
d 10903
 
2.8%
Other values (81) 168394
43.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 387273
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
59188
 
15.3%
e 29170
 
7.5%
o 20447
 
5.3%
a 17254
 
4.5%
n 16959
 
4.4%
r 16805
 
4.3%
i 16431
 
4.2%
t 16154
 
4.2%
s 15568
 
4.0%
d 10903
 
2.8%
Other values (81) 168394
43.5%
Distinct366
Distinct (%)4.4%
Missing9299
Missing (%)52.9%
Memory size1.1 MiB
2025-04-14T23:34:42.141253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.090262
Min length12

Characters and Unicode

Total characters373663
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)1.2%

Sample

1st row*03 Food products not maintained at 135øF or above
2nd row*02 Cold Hold (41øF/45øF or below)
3rd row*42 Dirty nonfood contact surfaces
4th row*43 Clean vent syst:Intake/exhaust air ducts
5th row*28 Date marking > 24 hrs,on site,temp 41F
ValueCountFrequency (%)
food 2164
 
3.7%
1753
 
3.0%
in 1048
 
1.8%
or 835
 
1.4%
and 824
 
1.4%
42 769
 
1.3%
dirty 724
 
1.2%
of 710
 
1.2%
the 707
 
1.2%
equipment 699
 
1.2%
Other values (872) 48866
82.7%
2025-04-14T23:34:42.497956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51639
13.8%
e 29736
 
8.0%
o 27329
 
7.3%
n 22913
 
6.1%
i 22833
 
6.1%
t 22263
 
6.0%
s 19251
 
5.2%
a 18999
 
5.1%
r 17364
 
4.6%
d 12897
 
3.5%
Other values (72) 128439
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 373663
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
51639
13.8%
e 29736
 
8.0%
o 27329
 
7.3%
n 22913
 
6.1%
i 22833
 
6.1%
t 22263
 
6.0%
s 19251
 
5.2%
a 18999
 
5.1%
r 17364
 
4.6%
d 12897
 
3.5%
Other values (72) 128439
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 373663
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
51639
13.8%
e 29736
 
8.0%
o 27329
 
7.3%
n 22913
 
6.1%
i 22833
 
6.1%
t 22263
 
6.0%
s 19251
 
5.2%
a 18999
 
5.1%
r 17364
 
4.6%
d 12897
 
3.5%
Other values (72) 128439
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 373663
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
51639
13.8%
e 29736
 
8.0%
o 27329
 
7.3%
n 22913
 
6.1%
i 22833
 
6.1%
t 22263
 
6.0%
s 19251
 
5.2%
a 18999
 
5.1%
r 17364
 
4.6%
d 12897
 
3.5%
Other values (72) 128439
34.4%

Violation Points - 5
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing9299
Missing (%)52.9%
Memory size1.0 MiB
1.0
4499 
2.0
2176 
3.0
1611 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters24861
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 4499
25.6%
2.0 2176
 
12.4%
3.0 1611
 
9.2%
4.0 1
 
< 0.1%
(Missing) 9299
52.9%

Length

2025-04-14T23:34:42.601506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:42.668691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4499
54.3%
2.0 2176
26.3%
3.0 1611
 
19.4%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 8287
33.3%
0 8287
33.3%
1 4499
18.1%
2 2176
 
8.8%
3 1611
 
6.5%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 24861
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 8287
33.3%
0 8287
33.3%
1 4499
18.1%
2 2176
 
8.8%
3 1611
 
6.5%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 24861
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 8287
33.3%
0 8287
33.3%
1 4499
18.1%
2 2176
 
8.8%
3 1611
 
6.5%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 24861
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 8287
33.3%
0 8287
33.3%
1 4499
18.1%
2 2176
 
8.8%
3 1611
 
6.5%
4 1
 
< 0.1%

Violation Detail - 5
Text

Missing 

Distinct372
Distinct (%)4.6%
Missing9428
Missing (%)53.6%
Memory size4.0 MiB
2025-04-14T23:34:42.962105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length895
Median length672
Mean length360.48934
Min length125

Characters and Unicode

Total characters2940872
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)1.3%

Sample

1st row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
2nd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
5th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
ValueCountFrequency (%)
and 22246
 
5.5%
food 16689
 
4.1%
of 14424
 
3.6%
the 13510
 
3.3%
a 11108
 
2.7%
shall 9224
 
2.3%
in 8892
 
2.2%
be 8252
 
2.0%
equipment 8177
 
2.0%
or 6828
 
1.7%
Other values (1985) 286126
70.6%
2025-04-14T23:34:43.445536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602045
20.5%
e 250887
 
8.5%
i 171501
 
5.8%
n 170404
 
5.8%
a 169993
 
5.8%
t 166228
 
5.7%
o 158486
 
5.4%
s 157879
 
5.4%
r 117506
 
4.0%
d 98219
 
3.3%
Other values (65) 877724
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2940872
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
602045
20.5%
e 250887
 
8.5%
i 171501
 
5.8%
n 170404
 
5.8%
a 169993
 
5.8%
t 166228
 
5.7%
o 158486
 
5.4%
s 157879
 
5.4%
r 117506
 
4.0%
d 98219
 
3.3%
Other values (65) 877724
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2940872
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
602045
20.5%
e 250887
 
8.5%
i 171501
 
5.8%
n 170404
 
5.8%
a 169993
 
5.8%
t 166228
 
5.7%
o 158486
 
5.4%
s 157879
 
5.4%
r 117506
 
4.0%
d 98219
 
3.3%
Other values (65) 877724
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2940872
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
602045
20.5%
e 250887
 
8.5%
i 171501
 
5.8%
n 170404
 
5.8%
a 169993
 
5.8%
t 166228
 
5.7%
o 158486
 
5.4%
s 157879
 
5.4%
r 117506
 
4.0%
d 98219
 
3.3%
Other values (65) 877724
29.8%

Violation Memo - 5
Text

Missing 

Distinct5862
Distinct (%)86.0%
Missing10771
Missing (%)61.2%
Memory size1.0 MiB
2025-04-14T23:34:43.821808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1823
Median length227
Mean length47.85077
Min length2

Characters and Unicode

Total characters326103
Distinct characters90
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5446 ?
Unique (%)79.9%

Sample

1st rowBrisket : 131'f
2nd rowraw egg 55'f
3rd rowclearly date mark tcs food for 7 days only
4th rowREACH IN FREEZER BOTTOM IN NEED OF CLEANING
5th rowHeimlich maneuver sign SEC. 17-11.2. ADDITIONAL REQUIREMENTS. (a) General. All food establishments that provide dining areas shall post the Heimlich maneuver sign in a place conspicuous to employees and customers. (b) Specifications: The sign shall: (1) be no smaller than 11 inches wide by 17 inches long; (2) be printed in English and Spanish and in at least two conspicuous contrasting colors on a white background; (3) provide major title and figure blocks in contrasting color to remaining copy blocks; (4) provide major headings with a minimum bold 72 point font; (5) provide initial subheadings with a minimum bold italic 60 point font; (6) provide secondary subheadings with a minimum bold 24 point font; and (7) provide a body copy in bold 14 point font.
ValueCountFrequency (%)
in 1842
 
3.4%
food 1244
 
2.3%
on 1081
 
2.0%
observed 1078
 
2.0%
and 1001
 
1.8%
the 973
 
1.8%
clean 925
 
1.7%
of 816
 
1.5%
provide 807
 
1.5%
to 668
 
1.2%
Other values (3119) 44107
80.9%
2025-04-14T23:34:44.355510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49915
 
15.3%
e 24076
 
7.4%
o 17231
 
5.3%
a 14336
 
4.4%
n 14161
 
4.3%
r 13987
 
4.3%
i 13838
 
4.2%
t 13560
 
4.2%
s 13065
 
4.0%
d 9020
 
2.8%
Other values (80) 142914
43.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 326103
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
49915
 
15.3%
e 24076
 
7.4%
o 17231
 
5.3%
a 14336
 
4.4%
n 14161
 
4.3%
r 13987
 
4.3%
i 13838
 
4.2%
t 13560
 
4.2%
s 13065
 
4.0%
d 9020
 
2.8%
Other values (80) 142914
43.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 326103
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
49915
 
15.3%
e 24076
 
7.4%
o 17231
 
5.3%
a 14336
 
4.4%
n 14161
 
4.3%
r 13987
 
4.3%
i 13838
 
4.2%
t 13560
 
4.2%
s 13065
 
4.0%
d 9020
 
2.8%
Other values (80) 142914
43.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 326103
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
49915
 
15.3%
e 24076
 
7.4%
o 17231
 
5.3%
a 14336
 
4.4%
n 14161
 
4.3%
r 13987
 
4.3%
i 13838
 
4.2%
t 13560
 
4.2%
s 13065
 
4.0%
d 9020
 
2.8%
Other values (80) 142914
43.8%
Distinct342
Distinct (%)5.1%
Missing10833
Missing (%)61.6%
Memory size1.0 MiB
2025-04-14T23:34:44.581576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.286539
Min length12

Characters and Unicode

Total characters305820
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)1.4%

Sample

1st row*32 Damaged Equipment
2nd row*37 Storing the food where it is not exposed to splash, dust, or other contamination
3rd row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
4th row*28 Do not exceed manuf. use by date
5th row*47 Handler-Certificate Not on site
ValueCountFrequency (%)
food 1878
 
3.9%
1343
 
2.8%
in 831
 
1.7%
or 708
 
1.5%
and 668
 
1.4%
of 601
 
1.2%
for 576
 
1.2%
42 567
 
1.2%
the 537
 
1.1%
dirty 534
 
1.1%
Other values (842) 40188
83.0%
2025-04-14T23:34:44.936081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42369
13.9%
e 24558
 
8.0%
o 22553
 
7.4%
n 18687
 
6.1%
i 18542
 
6.1%
t 18059
 
5.9%
s 16020
 
5.2%
a 15258
 
5.0%
r 14125
 
4.6%
d 10652
 
3.5%
Other values (71) 104997
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 305820
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
42369
13.9%
e 24558
 
8.0%
o 22553
 
7.4%
n 18687
 
6.1%
i 18542
 
6.1%
t 18059
 
5.9%
s 16020
 
5.2%
a 15258
 
5.0%
r 14125
 
4.6%
d 10652
 
3.5%
Other values (71) 104997
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 305820
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
42369
13.9%
e 24558
 
8.0%
o 22553
 
7.4%
n 18687
 
6.1%
i 18542
 
6.1%
t 18059
 
5.9%
s 16020
 
5.2%
a 15258
 
5.0%
r 14125
 
4.6%
d 10652
 
3.5%
Other values (71) 104997
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 305820
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
42369
13.9%
e 24558
 
8.0%
o 22553
 
7.4%
n 18687
 
6.1%
i 18542
 
6.1%
t 18059
 
5.9%
s 16020
 
5.2%
a 15258
 
5.0%
r 14125
 
4.6%
d 10652
 
3.5%
Other values (71) 104997
34.3%

Violation Points - 6
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing10833
Missing (%)61.6%
Memory size1.0 MiB
1.0
3758 
2.0
1666 
3.0
1329 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters20259
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3758
 
21.4%
2.0 1666
 
9.5%
3.0 1329
 
7.6%
(Missing) 10833
61.6%

Length

2025-04-14T23:34:45.042160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:45.108248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3758
55.6%
2.0 1666
24.7%
3.0 1329
 
19.7%

Most occurring characters

ValueCountFrequency (%)
. 6753
33.3%
0 6753
33.3%
1 3758
18.5%
2 1666
 
8.2%
3 1329
 
6.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20259
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 6753
33.3%
0 6753
33.3%
1 3758
18.5%
2 1666
 
8.2%
3 1329
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20259
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 6753
33.3%
0 6753
33.3%
1 3758
18.5%
2 1666
 
8.2%
3 1329
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20259
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 6753
33.3%
0 6753
33.3%
1 3758
18.5%
2 1666
 
8.2%
3 1329
 
6.6%

Violation Detail - 6
Text

Missing 

Distinct346
Distinct (%)5.2%
Missing10949
Missing (%)62.3%
Memory size3.4 MiB
2025-04-14T23:34:45.360751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1018
Median length684
Mean length365.13696
Min length125

Characters and Unicode

Total characters2423414
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)1.4%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (B) where it is not exposed to splash, dust, or other contamination; and
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (6) in a container of water if the water is maintained at a temperature of at least 57 degrees Celsius (135 degrees Fahrenheit) and the container is cleaned at a frequency specified in õ228.114(a)(4)(G) of this title.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat TCS food, date marking. (4) A date marking system that meets the criteria stated in paragraphs (1) and (2) of this subsection may include: (B) marking the date or day of preparation, with a procedure to discard the food on or before the last date or day by which the food must be consumed on the premises, sold, or discarded as specified in paragraph (1) of this subsection;
5th rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
ValueCountFrequency (%)
and 18580
 
5.5%
food 13999
 
4.2%
of 11648
 
3.5%
the 10945
 
3.3%
a 9014
 
2.7%
shall 7495
 
2.2%
in 7389
 
2.2%
be 6813
 
2.0%
equipment 6535
 
2.0%
or 5646
 
1.7%
Other values (1926) 236966
70.7%
2025-04-14T23:34:46.246363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
496202
20.5%
e 206452
 
8.5%
i 141291
 
5.8%
n 140932
 
5.8%
a 139545
 
5.8%
t 136837
 
5.6%
o 131759
 
5.4%
s 130548
 
5.4%
r 96304
 
4.0%
d 81451
 
3.4%
Other values (64) 722093
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2423414
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
496202
20.5%
e 206452
 
8.5%
i 141291
 
5.8%
n 140932
 
5.8%
a 139545
 
5.8%
t 136837
 
5.6%
o 131759
 
5.4%
s 130548
 
5.4%
r 96304
 
4.0%
d 81451
 
3.4%
Other values (64) 722093
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2423414
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
496202
20.5%
e 206452
 
8.5%
i 141291
 
5.8%
n 140932
 
5.8%
a 139545
 
5.8%
t 136837
 
5.6%
o 131759
 
5.4%
s 130548
 
5.4%
r 96304
 
4.0%
d 81451
 
3.4%
Other values (64) 722093
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2423414
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
496202
20.5%
e 206452
 
8.5%
i 141291
 
5.8%
n 140932
 
5.8%
a 139545
 
5.8%
t 136837
 
5.6%
o 131759
 
5.4%
s 130548
 
5.4%
r 96304
 
4.0%
d 81451
 
3.4%
Other values (64) 722093
29.8%

Violation Memo - 6
Text

Missing 

Distinct4734
Distinct (%)84.9%
Missing12010
Missing (%)68.3%
Memory size942.1 KiB
2025-04-14T23:34:46.578568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length818
Median length221
Mean length46.934003
Min length2

Characters and Unicode

Total characters261704
Distinct characters89
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4422 ?
Unique (%)79.3%

Sample

1st rowobserved broken panel of the cooler's wall, door, gasket of ric
2nd rowA FEW COOKED FOOD ITEMS NOT DATE MARKED
3rd rowsweat tea container left uncovered.
4th rowobserved damaged wall tile in restroom, repair.
5th rowKeep RFSM on site
ValueCountFrequency (%)
in 1502
 
3.4%
food 1063
 
2.4%
observed 940
 
2.1%
on 818
 
1.9%
the 803
 
1.8%
and 802
 
1.8%
clean 766
 
1.7%
of 635
 
1.4%
provide 624
 
1.4%
to 559
 
1.3%
Other values (2844) 35562
80.7%
2025-04-14T23:34:47.074451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39332
 
15.0%
e 19477
 
7.4%
o 13874
 
5.3%
r 11432
 
4.4%
a 11404
 
4.4%
n 11273
 
4.3%
i 11042
 
4.2%
t 10952
 
4.2%
s 10413
 
4.0%
d 7450
 
2.8%
Other values (79) 115055
44.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 261704
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
39332
 
15.0%
e 19477
 
7.4%
o 13874
 
5.3%
r 11432
 
4.4%
a 11404
 
4.4%
n 11273
 
4.3%
i 11042
 
4.2%
t 10952
 
4.2%
s 10413
 
4.0%
d 7450
 
2.8%
Other values (79) 115055
44.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 261704
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
39332
 
15.0%
e 19477
 
7.4%
o 13874
 
5.3%
r 11432
 
4.4%
a 11404
 
4.4%
n 11273
 
4.3%
i 11042
 
4.2%
t 10952
 
4.2%
s 10413
 
4.0%
d 7450
 
2.8%
Other values (79) 115055
44.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 261704
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
39332
 
15.0%
e 19477
 
7.4%
o 13874
 
5.3%
r 11432
 
4.4%
a 11404
 
4.4%
n 11273
 
4.3%
i 11042
 
4.2%
t 10952
 
4.2%
s 10413
 
4.0%
d 7450
 
2.8%
Other values (79) 115055
44.0%
Distinct325
Distinct (%)6.1%
Missing12217
Missing (%)69.5%
Memory size931.4 KiB
2025-04-14T23:34:47.293347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length82
Mean length45.649097
Min length12

Characters and Unicode

Total characters245090
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.7%

Sample

1st row*34 Pest Control
2nd row*10 Clean Sight and Touch
3rd row*38 Thawing. under running water criteria (70 degrees Fahrenheit) or below;
4th row*22 Accredited food handler certificate - 60 days
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
food 1531
 
4.0%
1013
 
2.6%
in 665
 
1.7%
or 585
 
1.5%
of 528
 
1.4%
and 505
 
1.3%
for 457
 
1.2%
42 455
 
1.2%
the 443
 
1.1%
dirty 424
 
1.1%
Other values (793) 31965
82.9%
2025-04-14T23:34:47.649685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33740
13.8%
e 19784
 
8.1%
o 18242
 
7.4%
i 15091
 
6.2%
n 15040
 
6.1%
t 14509
 
5.9%
s 12842
 
5.2%
a 12146
 
5.0%
r 11374
 
4.6%
d 8482
 
3.5%
Other values (71) 83840
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 245090
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
33740
13.8%
e 19784
 
8.1%
o 18242
 
7.4%
i 15091
 
6.2%
n 15040
 
6.1%
t 14509
 
5.9%
s 12842
 
5.2%
a 12146
 
5.0%
r 11374
 
4.6%
d 8482
 
3.5%
Other values (71) 83840
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 245090
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
33740
13.8%
e 19784
 
8.1%
o 18242
 
7.4%
i 15091
 
6.2%
n 15040
 
6.1%
t 14509
 
5.9%
s 12842
 
5.2%
a 12146
 
5.0%
r 11374
 
4.6%
d 8482
 
3.5%
Other values (71) 83840
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 245090
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
33740
13.8%
e 19784
 
8.1%
o 18242
 
7.4%
i 15091
 
6.2%
n 15040
 
6.1%
t 14509
 
5.9%
s 12842
 
5.2%
a 12146
 
5.0%
r 11374
 
4.6%
d 8482
 
3.5%
Other values (71) 83840
34.2%

Violation Points - 7
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.1%
Missing12217
Missing (%)69.5%
Memory size1.1 MiB
1.0
3034 
2.0
1293 
3.0
1042 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters16107
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 3034
 
17.3%
2.0 1293
 
7.4%
3.0 1042
 
5.9%
(Missing) 12217
69.5%

Length

2025-04-14T23:34:47.755816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:47.819994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3034
56.5%
2.0 1293
24.1%
3.0 1042
 
19.4%

Most occurring characters

ValueCountFrequency (%)
. 5369
33.3%
0 5369
33.3%
1 3034
18.8%
2 1293
 
8.0%
3 1042
 
6.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16107
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 5369
33.3%
0 5369
33.3%
1 3034
18.8%
2 1293
 
8.0%
3 1042
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16107
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 5369
33.3%
0 5369
33.3%
1 3034
18.8%
2 1293
 
8.0%
3 1042
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16107
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 5369
33.3%
0 5369
33.3%
1 3034
18.8%
2 1293
 
8.0%
3 1042
 
6.5%

Violation Detail - 7
Text

Missing 

Distinct329
Distinct (%)6.2%
Missing12313
Missing (%)70.0%
Memory size2.8 MiB
2025-04-14T23:34:48.099040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length666
Mean length363.58354
Min length125

Characters and Unicode

Total characters1917176
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.7%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (1) Routinely inspecting incoming shipments of food and supplies;
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (A) at a water temperature of 21 degrees Celsius (70 degrees Fahrenheit) or below;
4th rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
5th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 14601
 
5.5%
food 10972
 
4.1%
of 9205
 
3.5%
the 8528
 
3.2%
a 7028
 
2.7%
shall 5952
 
2.3%
in 5842
 
2.2%
be 5316
 
2.0%
equipment 5217
 
2.0%
or 4595
 
1.7%
Other values (1809) 187274
70.8%
2025-04-14T23:34:48.573013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
391247
20.4%
e 163376
 
8.5%
i 112278
 
5.9%
n 112257
 
5.9%
a 110669
 
5.8%
t 108027
 
5.6%
o 104320
 
5.4%
s 103448
 
5.4%
r 76613
 
4.0%
d 64090
 
3.3%
Other values (64) 570851
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1917176
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
391247
20.4%
e 163376
 
8.5%
i 112278
 
5.9%
n 112257
 
5.9%
a 110669
 
5.8%
t 108027
 
5.6%
o 104320
 
5.4%
s 103448
 
5.4%
r 76613
 
4.0%
d 64090
 
3.3%
Other values (64) 570851
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1917176
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
391247
20.4%
e 163376
 
8.5%
i 112278
 
5.9%
n 112257
 
5.9%
a 110669
 
5.8%
t 108027
 
5.6%
o 104320
 
5.4%
s 103448
 
5.4%
r 76613
 
4.0%
d 64090
 
3.3%
Other values (64) 570851
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1917176
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
391247
20.4%
e 163376
 
8.5%
i 112278
 
5.9%
n 112257
 
5.9%
a 110669
 
5.8%
t 108027
 
5.6%
o 104320
 
5.4%
s 103448
 
5.4%
r 76613
 
4.0%
d 64090
 
3.3%
Other values (64) 570851
29.8%

Violation Memo - 7
Text

Missing 

Distinct3881
Distinct (%)86.4%
Missing13095
Missing (%)74.5%
Memory size870.1 KiB
2025-04-14T23:34:48.886361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1575
Median length197
Mean length47.845469
Min length2

Characters and Unicode

Total characters214874
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3636 ?
Unique (%)81.0%

Sample

1st rowobserved cockroach on the 3 comp sink
2nd rowClean surfaces in contact with clean plates
3rd rowFROZEN THAWED FOOD( NOT UNDER RUNNING WATER )
4th rowemployees working in kitchen do not have texas food handler cards, provide.
5th rowno available towels in restroom, provide.
ValueCountFrequency (%)
in 1125
 
3.2%
food 903
 
2.5%
observed 713
 
2.0%
on 709
 
2.0%
and 671
 
1.9%
clean 615
 
1.7%
the 571
 
1.6%
provide 533
 
1.5%
of 516
 
1.4%
to 453
 
1.3%
Other values (2466) 28854
80.9%
2025-04-14T23:34:49.364394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33007
 
15.4%
e 15391
 
7.2%
o 11417
 
5.3%
a 9187
 
4.3%
n 9140
 
4.3%
r 9036
 
4.2%
t 8851
 
4.1%
i 8761
 
4.1%
s 8562
 
4.0%
E 6081
 
2.8%
Other values (77) 95441
44.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 214874
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
33007
 
15.4%
e 15391
 
7.2%
o 11417
 
5.3%
a 9187
 
4.3%
n 9140
 
4.3%
r 9036
 
4.2%
t 8851
 
4.1%
i 8761
 
4.1%
s 8562
 
4.0%
E 6081
 
2.8%
Other values (77) 95441
44.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 214874
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
33007
 
15.4%
e 15391
 
7.2%
o 11417
 
5.3%
a 9187
 
4.3%
n 9140
 
4.3%
r 9036
 
4.2%
t 8851
 
4.1%
i 8761
 
4.1%
s 8562
 
4.0%
E 6081
 
2.8%
Other values (77) 95441
44.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 214874
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
33007
 
15.4%
e 15391
 
7.2%
o 11417
 
5.3%
a 9187
 
4.3%
n 9140
 
4.3%
r 9036
 
4.2%
t 8851
 
4.1%
i 8761
 
4.1%
s 8562
 
4.0%
E 6081
 
2.8%
Other values (77) 95441
44.4%
Distinct282
Distinct (%)6.7%
Missing13402
Missing (%)76.2%
Memory size845.1 KiB
2025-04-14T23:34:49.565235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.001673
Min length12

Characters and Unicode

Total characters188287
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)1.9%

Sample

1st row*21 RFSM - Not On Site
2nd row*45 Drying Mops-air dry
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*31 Handwashing lavatory - accessible
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
food 1173
 
4.0%
841
 
2.8%
in 513
 
1.7%
or 437
 
1.5%
42 406
 
1.4%
dirty 381
 
1.3%
for 367
 
1.2%
and 362
 
1.2%
of 353
 
1.2%
not 327
 
1.1%
Other values (727) 24431
82.6%
2025-04-14T23:34:49.903445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25858
13.7%
e 15054
 
8.0%
o 14013
 
7.4%
n 11640
 
6.2%
i 11556
 
6.1%
t 11148
 
5.9%
s 9938
 
5.3%
a 9294
 
4.9%
r 8735
 
4.6%
d 6497
 
3.5%
Other values (70) 64554
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 188287
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
25858
13.7%
e 15054
 
8.0%
o 14013
 
7.4%
n 11640
 
6.2%
i 11556
 
6.1%
t 11148
 
5.9%
s 9938
 
5.3%
a 9294
 
4.9%
r 8735
 
4.6%
d 6497
 
3.5%
Other values (70) 64554
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 188287
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
25858
13.7%
e 15054
 
8.0%
o 14013
 
7.4%
n 11640
 
6.2%
i 11556
 
6.1%
t 11148
 
5.9%
s 9938
 
5.3%
a 9294
 
4.9%
r 8735
 
4.6%
d 6497
 
3.5%
Other values (70) 64554
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 188287
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
25858
13.7%
e 15054
 
8.0%
o 14013
 
7.4%
n 11640
 
6.2%
i 11556
 
6.1%
t 11148
 
5.9%
s 9938
 
5.3%
a 9294
 
4.9%
r 8735
 
4.6%
d 6497
 
3.5%
Other values (70) 64554
34.3%

Violation Points - 8
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.1%
Missing13402
Missing (%)76.2%
Memory size1.1 MiB
1.0
2467 
2.0
973 
3.0
744 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12552
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 2467
 
14.0%
2.0 973
 
5.5%
3.0 744
 
4.2%
(Missing) 13402
76.2%

Length

2025-04-14T23:34:50.006363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:50.067873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2467
59.0%
2.0 973
 
23.3%
3.0 744
 
17.8%

Most occurring characters

ValueCountFrequency (%)
. 4184
33.3%
0 4184
33.3%
1 2467
19.7%
2 973
 
7.8%
3 744
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12552
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 4184
33.3%
0 4184
33.3%
1 2467
19.7%
2 973
 
7.8%
3 744
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12552
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 4184
33.3%
0 4184
33.3%
1 2467
19.7%
2 973
 
7.8%
3 744
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12552
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 4184
33.3%
0 4184
33.3%
1 2467
19.7%
2 973
 
7.8%
3 744
 
5.9%

Violation Detail - 8
Text

Missing 

Distinct287
Distinct (%)7.0%
Missing13485
Missing (%)76.7%
Memory size2.3 MiB
2025-04-14T23:34:50.451696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length639
Mean length360.8081
Min length125

Characters and Unicode

Total characters1479674
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)1.9%

Sample

1st rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (1) A handwashing facility shall be maintained so that it is accessible at all times for employee use.
5th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 11157
 
5.5%
food 8564
 
4.2%
of 7247
 
3.6%
the 6426
 
3.1%
a 5535
 
2.7%
shall 4565
 
2.2%
in 4473
 
2.2%
be 4173
 
2.0%
equipment 4005
 
2.0%
or 3471
 
1.7%
Other values (1704) 144521
70.8%
2025-04-14T23:34:51.104832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302096
20.4%
e 126122
 
8.5%
i 87004
 
5.9%
n 86104
 
5.8%
a 84815
 
5.7%
t 83113
 
5.6%
o 80315
 
5.4%
s 80277
 
5.4%
r 58779
 
4.0%
d 49242
 
3.3%
Other values (62) 441807
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1479674
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
302096
20.4%
e 126122
 
8.5%
i 87004
 
5.9%
n 86104
 
5.8%
a 84815
 
5.7%
t 83113
 
5.6%
o 80315
 
5.4%
s 80277
 
5.4%
r 58779
 
4.0%
d 49242
 
3.3%
Other values (62) 441807
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1479674
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
302096
20.4%
e 126122
 
8.5%
i 87004
 
5.9%
n 86104
 
5.8%
a 84815
 
5.7%
t 83113
 
5.6%
o 80315
 
5.4%
s 80277
 
5.4%
r 58779
 
4.0%
d 49242
 
3.3%
Other values (62) 441807
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1479674
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
302096
20.4%
e 126122
 
8.5%
i 87004
 
5.9%
n 86104
 
5.8%
a 84815
 
5.7%
t 83113
 
5.6%
o 80315
 
5.4%
s 80277
 
5.4%
r 58779
 
4.0%
d 49242
 
3.3%
Other values (62) 441807
29.9%

Violation Memo - 8
Text

Missing 

Distinct2997
Distinct (%)85.8%
Missing14095
Missing (%)80.1%
Memory size794.1 KiB
2025-04-14T23:34:51.627388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length845
Median length188
Mean length46.514752
Min length2

Characters and Unicode

Total characters162383
Distinct characters85
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2801 ?
Unique (%)80.2%

Sample

1st rowRegister with city of Dallas -> Last warning will issue citation for repeat violation
2nd rowDIRTY KITCHEN FLOORS
3rd rowBLOCK WITH RACKS
4th rowProvide paper towels at all hand sinks
5th rowDAMAGED CEILING TILES DUE TO MOISTURE
ValueCountFrequency (%)
in 929
 
3.4%
food 679
 
2.5%
observed 563
 
2.1%
on 518
 
1.9%
clean 511
 
1.9%
and 507
 
1.9%
provide 426
 
1.6%
the 414
 
1.5%
all 390
 
1.4%
of 344
 
1.3%
Other values (2271) 21893
80.6%
2025-04-14T23:34:52.398534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24339
 
15.0%
e 11710
 
7.2%
o 8438
 
5.2%
n 7015
 
4.3%
a 6940
 
4.3%
r 6738
 
4.1%
i 6685
 
4.1%
s 6596
 
4.1%
t 6450
 
4.0%
E 4753
 
2.9%
Other values (75) 72719
44.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 162383
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
24339
 
15.0%
e 11710
 
7.2%
o 8438
 
5.2%
n 7015
 
4.3%
a 6940
 
4.3%
r 6738
 
4.1%
i 6685
 
4.1%
s 6596
 
4.1%
t 6450
 
4.0%
E 4753
 
2.9%
Other values (75) 72719
44.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 162383
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
24339
 
15.0%
e 11710
 
7.2%
o 8438
 
5.2%
n 7015
 
4.3%
a 6940
 
4.3%
r 6738
 
4.1%
i 6685
 
4.1%
s 6596
 
4.1%
t 6450
 
4.0%
E 4753
 
2.9%
Other values (75) 72719
44.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 162383
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
24339
 
15.0%
e 11710
 
7.2%
o 8438
 
5.2%
n 7015
 
4.3%
a 6940
 
4.3%
r 6738
 
4.1%
i 6685
 
4.1%
s 6596
 
4.1%
t 6450
 
4.0%
E 4753
 
2.9%
Other values (75) 72719
44.8%
Distinct257
Distinct (%)8.1%
Missing14398
Missing (%)81.9%
Memory size777.1 KiB
2025-04-14T23:34:52.715848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length82
Mean length45.663739
Min length12

Characters and Unicode

Total characters145576
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)2.5%

Sample

1st row*32 Damaged Equipment
2nd row*42 Floors/walls/ceiling/nonfood dirty
3rd row*39 Keep utensils handles upright or protected
4th row*37 Preventing contamination from other sources. Miscellaneous sources of Contamination
5th row*44 Trash can provided for papertowel waste
ValueCountFrequency (%)
food 928
 
4.0%
628
 
2.7%
in 424
 
1.8%
or 383
 
1.7%
for 284
 
1.2%
and 279
 
1.2%
of 258
 
1.1%
42 248
 
1.1%
45 237
 
1.0%
the 236
 
1.0%
Other values (717) 19044
83.0%
2025-04-14T23:34:53.126854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20108
13.8%
e 11802
 
8.1%
o 10761
 
7.4%
i 8913
 
6.1%
n 8812
 
6.1%
t 8476
 
5.8%
s 7639
 
5.2%
a 7295
 
5.0%
r 6835
 
4.7%
d 5101
 
3.5%
Other values (70) 49834
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 145576
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
20108
13.8%
e 11802
 
8.1%
o 10761
 
7.4%
i 8913
 
6.1%
n 8812
 
6.1%
t 8476
 
5.8%
s 7639
 
5.2%
a 7295
 
5.0%
r 6835
 
4.7%
d 5101
 
3.5%
Other values (70) 49834
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 145576
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
20108
13.8%
e 11802
 
8.1%
o 10761
 
7.4%
i 8913
 
6.1%
n 8812
 
6.1%
t 8476
 
5.8%
s 7639
 
5.2%
a 7295
 
5.0%
r 6835
 
4.7%
d 5101
 
3.5%
Other values (70) 49834
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 145576
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
20108
13.8%
e 11802
 
8.1%
o 10761
 
7.4%
i 8913
 
6.1%
n 8812
 
6.1%
t 8476
 
5.8%
s 7639
 
5.2%
a 7295
 
5.0%
r 6835
 
4.7%
d 5101
 
3.5%
Other values (70) 49834
34.2%

Violation Points - 9
Categorical

High correlation  Missing 

Distinct4
Distinct (%)0.1%
Missing14398
Missing (%)81.9%
Memory size1.1 MiB
1.0
1821 
2.0
726 
3.0
640 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9564
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1821
 
10.4%
2.0 726
 
4.1%
3.0 640
 
3.6%
4.0 1
 
< 0.1%
(Missing) 14398
81.9%

Length

2025-04-14T23:34:53.236168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:53.308172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1821
57.1%
2.0 726
 
22.8%
3.0 640
 
20.1%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 3188
33.3%
0 3188
33.3%
1 1821
19.0%
2 726
 
7.6%
3 640
 
6.7%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 3188
33.3%
0 3188
33.3%
1 1821
19.0%
2 726
 
7.6%
3 640
 
6.7%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 3188
33.3%
0 3188
33.3%
1 1821
19.0%
2 726
 
7.6%
3 640
 
6.7%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 3188
33.3%
0 3188
33.3%
1 1821
19.0%
2 726
 
7.6%
3 640
 
6.7%
4 1
 
< 0.1%

Violation Detail - 9
Text

Missing 

Distinct261
Distinct (%)8.3%
Missing14460
Missing (%)82.2%
Memory size1.8 MiB
2025-04-14T23:34:53.594941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length586
Mean length358.64107
Min length125

Characters and Unicode

Total characters1121112
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)2.6%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
3rd row228.125 Preventing Contamination. (a) Kitchenware and tableware. (2) Knives, forks, and spoons that are not prewrapped shall be presented so that only the handles are touched by employees and by consumers if consumer self-service is provided.
4th row228.70 Food. Preventing contamination by consumers. (e) Preventing contamination from other sources. Miscellaneous sources of Contamination. Food shall be protected from contamination that may result from a factor or source not specified in õõ228.65 - 228.70 of this title.
5th row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
ValueCountFrequency (%)
and 8661
 
5.6%
food 6488
 
4.2%
of 5163
 
3.3%
the 4888
 
3.2%
a 4119
 
2.7%
shall 3439
 
2.2%
in 3332
 
2.2%
be 3050
 
2.0%
equipment 2976
 
1.9%
or 2729
 
1.8%
Other values (1619) 109580
71.0%
2025-04-14T23:34:54.054902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228371
20.4%
e 95745
 
8.5%
i 65863
 
5.9%
n 65818
 
5.9%
a 64988
 
5.8%
t 62853
 
5.6%
o 61059
 
5.4%
s 60969
 
5.4%
r 45015
 
4.0%
d 37235
 
3.3%
Other values (61) 333196
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1121112
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
228371
20.4%
e 95745
 
8.5%
i 65863
 
5.9%
n 65818
 
5.9%
a 64988
 
5.8%
t 62853
 
5.6%
o 61059
 
5.4%
s 60969
 
5.4%
r 45015
 
4.0%
d 37235
 
3.3%
Other values (61) 333196
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1121112
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
228371
20.4%
e 95745
 
8.5%
i 65863
 
5.9%
n 65818
 
5.9%
a 64988
 
5.8%
t 62853
 
5.6%
o 61059
 
5.4%
s 60969
 
5.4%
r 45015
 
4.0%
d 37235
 
3.3%
Other values (61) 333196
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1121112
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
228371
20.4%
e 95745
 
8.5%
i 65863
 
5.9%
n 65818
 
5.9%
a 64988
 
5.8%
t 62853
 
5.6%
o 61059
 
5.4%
s 60969
 
5.4%
r 45015
 
4.0%
d 37235
 
3.3%
Other values (61) 333196
29.7%

Violation Memo - 9
Text

Missing 

Distinct2358
Distinct (%)86.2%
Missing14849
Missing (%)84.4%
Memory size743.6 KiB
2025-04-14T23:34:54.381123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1517
Median length186
Mean length47.383997
Min length3

Characters and Unicode

Total characters129690
Distinct characters86
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2206 ?
Unique (%)80.6%

Sample

1st rowBROKEN REACH IN COOLER DOOR GASKETS
2nd rowCLEAN FLOORS & DRAINS
3rd rowObserved utensils laying inside krisp it, handle must be upright not touching food
4th rowA FOOD STORAGE CONTAINER WAS STORED DIRECTLY ON TOP OF FRESH CUT LETTUCE
5th rowstore wet cloths in sanitizer bucket
ValueCountFrequency (%)
in 717
 
3.3%
food 600
 
2.8%
observed 401
 
1.9%
and 394
 
1.8%
clean 386
 
1.8%
on 364
 
1.7%
provide 326
 
1.5%
all 310
 
1.4%
the 309
 
1.4%
to 276
 
1.3%
Other values (2044) 17416
81.0%
2025-04-14T23:34:54.891377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19503
 
15.0%
e 8888
 
6.9%
o 6719
 
5.2%
a 5374
 
4.1%
n 5316
 
4.1%
r 5287
 
4.1%
s 5252
 
4.0%
t 5113
 
3.9%
i 5078
 
3.9%
E 3898
 
3.0%
Other values (76) 59262
45.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 129690
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
19503
 
15.0%
e 8888
 
6.9%
o 6719
 
5.2%
a 5374
 
4.1%
n 5316
 
4.1%
r 5287
 
4.1%
s 5252
 
4.0%
t 5113
 
3.9%
i 5078
 
3.9%
E 3898
 
3.0%
Other values (76) 59262
45.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 129690
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
19503
 
15.0%
e 8888
 
6.9%
o 6719
 
5.2%
a 5374
 
4.1%
n 5316
 
4.1%
r 5287
 
4.1%
s 5252
 
4.0%
t 5113
 
3.9%
i 5078
 
3.9%
E 3898
 
3.0%
Other values (76) 59262
45.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 129690
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
19503
 
15.0%
e 8888
 
6.9%
o 6719
 
5.2%
a 5374
 
4.1%
n 5316
 
4.1%
r 5287
 
4.1%
s 5252
 
4.0%
t 5113
 
3.9%
i 5078
 
3.9%
E 3898
 
3.0%
Other values (76) 59262
45.7%
Distinct238
Distinct (%)10.0%
Missing15215
Missing (%)86.5%
Memory size718.8 KiB
2025-04-14T23:34:55.106950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.307043
Min length12

Characters and Unicode

Total characters107423
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)2.7%

Sample

1st row*45 Drying Mops-air dry
2nd row*34 Pest Control
3rd row*43 Light bulbs, light shields provided
4th row*47 Handwashing signage
5th row*47 Conditions of Permit-in use of food equipment
ValueCountFrequency (%)
food 642
 
3.8%
473
 
2.8%
in 317
 
1.9%
or 257
 
1.5%
of 222
 
1.3%
for 211
 
1.2%
47 209
 
1.2%
the 202
 
1.2%
and 197
 
1.2%
42 173
 
1.0%
Other values (650) 14071
82.9%
2025-04-14T23:34:55.458800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14873
13.8%
e 8733
 
8.1%
o 7915
 
7.4%
i 6619
 
6.2%
n 6478
 
6.0%
t 6266
 
5.8%
s 5658
 
5.3%
a 5345
 
5.0%
r 4969
 
4.6%
d 3760
 
3.5%
Other values (70) 36807
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 107423
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14873
13.8%
e 8733
 
8.1%
o 7915
 
7.4%
i 6619
 
6.2%
n 6478
 
6.0%
t 6266
 
5.8%
s 5658
 
5.3%
a 5345
 
5.0%
r 4969
 
4.6%
d 3760
 
3.5%
Other values (70) 36807
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 107423
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14873
13.8%
e 8733
 
8.1%
o 7915
 
7.4%
i 6619
 
6.2%
n 6478
 
6.0%
t 6266
 
5.8%
s 5658
 
5.3%
a 5345
 
5.0%
r 4969
 
4.6%
d 3760
 
3.5%
Other values (70) 36807
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 107423
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14873
13.8%
e 8733
 
8.1%
o 7915
 
7.4%
i 6619
 
6.2%
n 6478
 
6.0%
t 6266
 
5.8%
s 5658
 
5.3%
a 5345
 
5.0%
r 4969
 
4.6%
d 3760
 
3.5%
Other values (70) 36807
34.3%

Violation Points - 10
Categorical

Missing 

Distinct3
Distinct (%)0.1%
Missing15215
Missing (%)86.5%
Memory size1.1 MiB
1.0
1351 
2.0
567 
3.0
453 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7113
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1351
 
7.7%
2.0 567
 
3.2%
3.0 453
 
2.6%
(Missing) 15215
86.5%

Length

2025-04-14T23:34:55.567445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:55.631356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1351
57.0%
2.0 567
23.9%
3.0 453
 
19.1%

Most occurring characters

ValueCountFrequency (%)
. 2371
33.3%
0 2371
33.3%
1 1351
19.0%
2 567
 
8.0%
3 453
 
6.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7113
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 2371
33.3%
0 2371
33.3%
1 1351
19.0%
2 567
 
8.0%
3 453
 
6.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7113
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 2371
33.3%
0 2371
33.3%
1 1351
19.0%
2 567
 
8.0%
3 453
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7113
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 2371
33.3%
0 2371
33.3%
1 1351
19.0%
2 567
 
8.0%
3 453
 
6.4%

Violation Detail - 10
Text

Missing 

Distinct245
Distinct (%)10.6%
Missing15274
Missing (%)86.9%
Memory size1.5 MiB
2025-04-14T23:34:55.901934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length575
Mean length361.39317
Min length125

Characters and Unicode

Total characters835541
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)2.9%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (1) Routinely inspecting incoming shipments of food and supplies;
3rd row228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.
4th row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
5th row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
ValueCountFrequency (%)
and 6397
 
5.6%
food 4790
 
4.2%
of 3856
 
3.4%
the 3658
 
3.2%
a 3088
 
2.7%
shall 2594
 
2.3%
in 2526
 
2.2%
be 2317
 
2.0%
equipment 2216
 
1.9%
or 2022
 
1.8%
Other values (1560) 81453
70.9%
2025-04-14T23:34:56.357910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170846
20.4%
e 71316
 
8.5%
i 49338
 
5.9%
n 48636
 
5.8%
a 48330
 
5.8%
t 46786
 
5.6%
s 45221
 
5.4%
o 44817
 
5.4%
r 33182
 
4.0%
d 27621
 
3.3%
Other values (62) 249448
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 835541
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
170846
20.4%
e 71316
 
8.5%
i 49338
 
5.9%
n 48636
 
5.8%
a 48330
 
5.8%
t 46786
 
5.6%
s 45221
 
5.4%
o 44817
 
5.4%
r 33182
 
4.0%
d 27621
 
3.3%
Other values (62) 249448
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 835541
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
170846
20.4%
e 71316
 
8.5%
i 49338
 
5.9%
n 48636
 
5.8%
a 48330
 
5.8%
t 46786
 
5.6%
s 45221
 
5.4%
o 44817
 
5.4%
r 33182
 
4.0%
d 27621
 
3.3%
Other values (62) 249448
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 835541
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
170846
20.4%
e 71316
 
8.5%
i 49338
 
5.9%
n 48636
 
5.8%
a 48330
 
5.8%
t 46786
 
5.6%
s 45221
 
5.4%
o 44817
 
5.4%
r 33182
 
4.0%
d 27621
 
3.3%
Other values (62) 249448
29.9%

Violation Memo - 10
Text

Missing 

Distinct1763
Distinct (%)85.8%
Missing15531
Missing (%)88.3%
Memory size694.1 KiB
2025-04-14T23:34:56.708867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1013
Median length156
Mean length46.736253
Min length3

Characters and Unicode

Total characters96043
Distinct characters86
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1660 ?
Unique (%)80.8%

Sample

1st rowMOP AIR DRY
2nd rowObserved gnats flying around near mop sink
3rd rowLIGHTING UNIT IN THE WALK IN COOLER IS OUT BROKEN LIGHT SHIELD IN WALK IN COOLER
4th rowprovide hand washing sign
5th rowconsumer health sign was observed flipped and not visible to customers, must be easily visible to customers.
ValueCountFrequency (%)
in 497
 
3.1%
food 417
 
2.6%
and 292
 
1.8%
provide 290
 
1.8%
on 286
 
1.8%
clean 277
 
1.7%
observed 268
 
1.7%
all 249
 
1.6%
the 209
 
1.3%
to 198
 
1.2%
Other values (1779) 12995
81.3%
2025-04-14T23:34:57.191339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14340
 
14.9%
e 6643
 
6.9%
o 4936
 
5.1%
a 3996
 
4.2%
n 3992
 
4.2%
r 3979
 
4.1%
i 3891
 
4.1%
s 3842
 
4.0%
t 3776
 
3.9%
E 2963
 
3.1%
Other values (76) 43685
45.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 96043
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14340
 
14.9%
e 6643
 
6.9%
o 4936
 
5.1%
a 3996
 
4.2%
n 3992
 
4.2%
r 3979
 
4.1%
i 3891
 
4.1%
s 3842
 
4.0%
t 3776
 
3.9%
E 2963
 
3.1%
Other values (76) 43685
45.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 96043
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14340
 
14.9%
e 6643
 
6.9%
o 4936
 
5.1%
a 3996
 
4.2%
n 3992
 
4.2%
r 3979
 
4.1%
i 3891
 
4.1%
s 3842
 
4.0%
t 3776
 
3.9%
E 2963
 
3.1%
Other values (76) 43685
45.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 96043
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14340
 
14.9%
e 6643
 
6.9%
o 4936
 
5.1%
a 3996
 
4.2%
n 3992
 
4.2%
r 3979
 
4.1%
i 3891
 
4.1%
s 3842
 
4.0%
t 3776
 
3.9%
E 2963
 
3.1%
Other values (76) 43685
45.5%
Distinct211
Distinct (%)13.2%
Missing15989
Missing (%)90.9%
Memory size663.8 KiB
2025-04-14T23:34:57.532505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length76
Mean length45.793363
Min length12

Characters and Unicode

Total characters73132
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)4.3%

Sample

1st row*47 Conditions of Permit-in use of food equipment
2nd row*35 Eating food, chewing gum, drinking beverages, or using tobacco
3rd row*42 Dirty nonfood contact surfaces
4th row*32 Maintain in Good Repair
5th row*21 A establishment shall have written procedures for employees to follow when responding to vomitin
ValueCountFrequency (%)
food 510
 
4.4%
329
 
2.8%
in 198
 
1.7%
or 178
 
1.5%
the 171
 
1.5%
of 162
 
1.4%
47 137
 
1.2%
for 135
 
1.2%
42 128
 
1.1%
dirty 125
 
1.1%
Other values (601) 9521
82.1%
2025-04-14T23:34:58.010962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10152
13.9%
e 5906
 
8.1%
o 5471
 
7.5%
n 4436
 
6.1%
i 4422
 
6.0%
t 4281
 
5.9%
s 3806
 
5.2%
a 3657
 
5.0%
r 3401
 
4.7%
d 2539
 
3.5%
Other values (68) 25061
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 73132
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
10152
13.9%
e 5906
 
8.1%
o 5471
 
7.5%
n 4436
 
6.1%
i 4422
 
6.0%
t 4281
 
5.9%
s 3806
 
5.2%
a 3657
 
5.0%
r 3401
 
4.7%
d 2539
 
3.5%
Other values (68) 25061
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 73132
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
10152
13.9%
e 5906
 
8.1%
o 5471
 
7.5%
n 4436
 
6.1%
i 4422
 
6.0%
t 4281
 
5.9%
s 3806
 
5.2%
a 3657
 
5.0%
r 3401
 
4.7%
d 2539
 
3.5%
Other values (68) 25061
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 73132
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
10152
13.9%
e 5906
 
8.1%
o 5471
 
7.5%
n 4436
 
6.1%
i 4422
 
6.0%
t 4281
 
5.9%
s 3806
 
5.2%
a 3657
 
5.0%
r 3401
 
4.7%
d 2539
 
3.5%
Other values (68) 25061
34.3%

Violation Points - 11
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.2%
Missing15989
Missing (%)90.9%
Memory size1.1 MiB
1.0
920 
2.0
385 
3.0
292 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters4791
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 920
 
5.2%
2.0 385
 
2.2%
3.0 292
 
1.7%
(Missing) 15989
90.9%

Length

2025-04-14T23:34:58.120874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:34:58.187864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 920
57.6%
2.0 385
24.1%
3.0 292
 
18.3%

Most occurring characters

ValueCountFrequency (%)
. 1597
33.3%
0 1597
33.3%
1 920
19.2%
2 385
 
8.0%
3 292
 
6.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4791
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1597
33.3%
0 1597
33.3%
1 920
19.2%
2 385
 
8.0%
3 292
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4791
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1597
33.3%
0 1597
33.3%
1 920
19.2%
2 385
 
8.0%
3 292
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4791
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1597
33.3%
0 1597
33.3%
1 920
19.2%
2 385
 
8.0%
3 292
 
6.1%

Violation Detail - 11
Text

Missing 

Distinct215
Distinct (%)13.8%
Missing16024
Missing (%)91.1%
Memory size1.2 MiB
2025-04-14T23:34:58.468562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length545
Mean length366.23496
Min length125

Characters and Unicode

Total characters572059
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)4.5%

Sample

1st row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
2nd row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.
5th row228.45 Contamination Events Clean-up of Vomit and Diarrheal Events. A food establishment shall have written procedures for employees to follow when responding to vomiting or diarrheal events that involve the discharge of vomitus or fecal matter onto surfaces in the food establishment the procedures shall address the specific actions employees must take to minimize the spread of contamination and the exposure of employees, consumers, food, and surfaces to vomitus or fecal matter.
ValueCountFrequency (%)
and 4302
 
5.4%
food 3463
 
4.4%
of 2706
 
3.4%
the 2639
 
3.3%
a 2188
 
2.8%
shall 1755
 
2.2%
in 1735
 
2.2%
be 1596
 
2.0%
equipment 1406
 
1.8%
or 1389
 
1.8%
Other values (1412) 56018
70.7%
2025-04-14T23:34:58.941078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117772
20.6%
e 48815
 
8.5%
a 33436
 
5.8%
i 33115
 
5.8%
n 32953
 
5.8%
t 32189
 
5.6%
o 31237
 
5.5%
s 30434
 
5.3%
r 22922
 
4.0%
d 19237
 
3.4%
Other values (63) 169949
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 572059
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
117772
20.6%
e 48815
 
8.5%
a 33436
 
5.8%
i 33115
 
5.8%
n 32953
 
5.8%
t 32189
 
5.6%
o 31237
 
5.5%
s 30434
 
5.3%
r 22922
 
4.0%
d 19237
 
3.4%
Other values (63) 169949
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 572059
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
117772
20.6%
e 48815
 
8.5%
a 33436
 
5.8%
i 33115
 
5.8%
n 32953
 
5.8%
t 32189
 
5.6%
o 31237
 
5.5%
s 30434
 
5.3%
r 22922
 
4.0%
d 19237
 
3.4%
Other values (63) 169949
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 572059
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
117772
20.6%
e 48815
 
8.5%
a 33436
 
5.8%
i 33115
 
5.8%
n 32953
 
5.8%
t 32189
 
5.6%
o 31237
 
5.5%
s 30434
 
5.3%
r 22922
 
4.0%
d 19237
 
3.4%
Other values (63) 169949
29.7%

Violation Memo - 11
Text

Missing 

Distinct1218
Distinct (%)87.3%
Missing16191
Missing (%)92.1%
Memory size648.5 KiB
2025-04-14T23:34:59.284795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1318
Median length155
Mean length47.530466
Min length3

Characters and Unicode

Total characters66305
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1157 ?
Unique (%)82.9%

Sample

1st rowPOST SIGN " CURRENT HEALTH INSPECTION REPORT IS AVAILABLE UPON REQUEST"
2nd rowObserved drinks and food of employees in soda coolers, designate an area for employees drinks and food
3rd rowclean coolers, shelves, gaskets
4th rowfront cooler 61 degrees f check and repair walk in freezer
5th rowmissing bodily fluids writing procedures /spill kit.
ValueCountFrequency (%)
in 387
 
3.5%
food 308
 
2.8%
on 216
 
2.0%
and 213
 
1.9%
observed 191
 
1.7%
clean 190
 
1.7%
all 180
 
1.6%
provide 178
 
1.6%
of 146
 
1.3%
the 143
 
1.3%
Other values (1447) 8778
80.3%
2025-04-14T23:34:59.808118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9997
 
15.1%
e 4583
 
6.9%
o 3541
 
5.3%
n 2812
 
4.2%
a 2740
 
4.1%
r 2719
 
4.1%
s 2699
 
4.1%
t 2654
 
4.0%
i 2636
 
4.0%
E 1890
 
2.9%
Other values (70) 30034
45.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66305
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9997
 
15.1%
e 4583
 
6.9%
o 3541
 
5.3%
n 2812
 
4.2%
a 2740
 
4.1%
r 2719
 
4.1%
s 2699
 
4.1%
t 2654
 
4.0%
i 2636
 
4.0%
E 1890
 
2.9%
Other values (70) 30034
45.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66305
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9997
 
15.1%
e 4583
 
6.9%
o 3541
 
5.3%
n 2812
 
4.2%
a 2740
 
4.1%
r 2719
 
4.1%
s 2699
 
4.1%
t 2654
 
4.0%
i 2636
 
4.0%
E 1890
 
2.9%
Other values (70) 30034
45.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66305
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9997
 
15.1%
e 4583
 
6.9%
o 3541
 
5.3%
n 2812
 
4.2%
a 2740
 
4.1%
r 2719
 
4.1%
s 2699
 
4.1%
t 2654
 
4.0%
i 2636
 
4.0%
E 1890
 
2.9%
Other values (70) 30034
45.3%
Distinct172
Distinct (%)17.9%
Missing16624
Missing (%)94.5%
Memory size618.9 KiB
2025-04-14T23:35:00.024881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length73
Mean length46.221414
Min length12

Characters and Unicode

Total characters44465
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)6.0%

Sample

1st row*35 Hair Restraints effective
2nd row*41 Food storage containers, identified with common name of food.
3rd row*42 Dirty nonfood contact surfaces
4th row*10 Clean Sight and Touch
5th row*34 Pest control-routine inspections for
ValueCountFrequency (%)
food 304
 
4.3%
161
 
2.3%
in 144
 
2.0%
or 108
 
1.5%
the 95
 
1.3%
of 94
 
1.3%
for 85
 
1.2%
47 83
 
1.2%
and 74
 
1.0%
42 72
 
1.0%
Other values (539) 5834
82.7%
2025-04-14T23:35:00.372200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6184
13.9%
e 3634
 
8.2%
o 3357
 
7.5%
n 2704
 
6.1%
i 2658
 
6.0%
t 2608
 
5.9%
s 2352
 
5.3%
a 2244
 
5.0%
r 2139
 
4.8%
d 1531
 
3.4%
Other values (69) 15054
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 44465
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6184
13.9%
e 3634
 
8.2%
o 3357
 
7.5%
n 2704
 
6.1%
i 2658
 
6.0%
t 2608
 
5.9%
s 2352
 
5.3%
a 2244
 
5.0%
r 2139
 
4.8%
d 1531
 
3.4%
Other values (69) 15054
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 44465
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6184
13.9%
e 3634
 
8.2%
o 3357
 
7.5%
n 2704
 
6.1%
i 2658
 
6.0%
t 2608
 
5.9%
s 2352
 
5.3%
a 2244
 
5.0%
r 2139
 
4.8%
d 1531
 
3.4%
Other values (69) 15054
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 44465
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6184
13.9%
e 3634
 
8.2%
o 3357
 
7.5%
n 2704
 
6.1%
i 2658
 
6.0%
t 2608
 
5.9%
s 2352
 
5.3%
a 2244
 
5.0%
r 2139
 
4.8%
d 1531
 
3.4%
Other values (69) 15054
33.9%

Violation Points - 12
Categorical

Missing 

Distinct3
Distinct (%)0.3%
Missing16624
Missing (%)94.5%
Memory size1.1 MiB
1.0
564 
2.0
209 
3.0
189 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2886
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 564
 
3.2%
2.0 209
 
1.2%
3.0 189
 
1.1%
(Missing) 16624
94.5%

Length

2025-04-14T23:35:00.479181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:00.550766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 564
58.6%
2.0 209
 
21.7%
3.0 189
 
19.6%

Most occurring characters

ValueCountFrequency (%)
. 962
33.3%
0 962
33.3%
1 564
19.5%
2 209
 
7.2%
3 189
 
6.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2886
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 962
33.3%
0 962
33.3%
1 564
19.5%
2 209
 
7.2%
3 189
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2886
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 962
33.3%
0 962
33.3%
1 564
19.5%
2 209
 
7.2%
3 189
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2886
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 962
33.3%
0 962
33.3%
1 564
19.5%
2 209
 
7.2%
3 189
 
6.5%

Violation Detail - 12
Text

Missing 

Distinct173
Distinct (%)18.5%
Missing16651
Missing (%)94.7%
Memory size957.7 KiB
2025-04-14T23:35:00.869636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length517
Mean length358.63529
Min length125

Characters and Unicode

Total characters335324
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)6.5%

Sample

1st row228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.
2nd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;
ValueCountFrequency (%)
and 2538
 
5.5%
food 2037
 
4.4%
of 1582
 
3.4%
the 1498
 
3.2%
a 1236
 
2.7%
shall 1044
 
2.3%
in 1027
 
2.2%
be 919
 
2.0%
equipment 816
 
1.8%
or 780
 
1.7%
Other values (1297) 32902
70.9%
2025-04-14T23:35:01.359053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68735
20.5%
e 28516
 
8.5%
a 19630
 
5.9%
i 19586
 
5.8%
n 19325
 
5.8%
t 18711
 
5.6%
o 18353
 
5.5%
s 17945
 
5.4%
r 13492
 
4.0%
d 11301
 
3.4%
Other values (63) 99730
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 335324
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
68735
20.5%
e 28516
 
8.5%
a 19630
 
5.9%
i 19586
 
5.8%
n 19325
 
5.8%
t 18711
 
5.6%
o 18353
 
5.5%
s 17945
 
5.4%
r 13492
 
4.0%
d 11301
 
3.4%
Other values (63) 99730
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 335324
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
68735
20.5%
e 28516
 
8.5%
a 19630
 
5.9%
i 19586
 
5.8%
n 19325
 
5.8%
t 18711
 
5.6%
o 18353
 
5.5%
s 17945
 
5.4%
r 13492
 
4.0%
d 11301
 
3.4%
Other values (63) 99730
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 335324
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
68735
20.5%
e 28516
 
8.5%
a 19630
 
5.9%
i 19586
 
5.8%
n 19325
 
5.8%
t 18711
 
5.6%
o 18353
 
5.5%
s 17945
 
5.4%
r 13492
 
4.0%
d 11301
 
3.4%
Other values (63) 99730
29.7%

Violation Memo - 12
Text

Missing 

Distinct741
Distinct (%)89.5%
Missing16758
Missing (%)95.3%
Memory size606.5 KiB
2025-04-14T23:35:01.687802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length387
Median length111
Mean length45.315217
Min length3

Characters and Unicode

Total characters37521
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique697 ?
Unique (%)84.2%

Sample

1st rowPROPERLY RESTRAIN HAIR
2nd rowLabel bulk food items (flour, pizza sauce, cornstarch)
3rd rowObserved dirty outsides of containers, walls, shelves
4th rowUNSANITARY CONDITIONS- CLEAN ALL
5th rowobserved flies and fruit flies
ValueCountFrequency (%)
in 229
 
3.6%
food 208
 
3.3%
and 157
 
2.5%
on 118
 
1.9%
observed 113
 
1.8%
all 110
 
1.7%
provide 106
 
1.7%
clean 101
 
1.6%
for 76
 
1.2%
the 75
 
1.2%
Other values (1074) 5029
79.5%
2025-04-14T23:35:02.167576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5570
 
14.8%
e 2600
 
6.9%
o 2051
 
5.5%
r 1610
 
4.3%
a 1585
 
4.2%
n 1569
 
4.2%
s 1565
 
4.2%
i 1455
 
3.9%
t 1416
 
3.8%
E 1115
 
3.0%
Other values (71) 16985
45.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 37521
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5570
 
14.8%
e 2600
 
6.9%
o 2051
 
5.5%
r 1610
 
4.3%
a 1585
 
4.2%
n 1569
 
4.2%
s 1565
 
4.2%
i 1455
 
3.9%
t 1416
 
3.8%
E 1115
 
3.0%
Other values (71) 16985
45.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 37521
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5570
 
14.8%
e 2600
 
6.9%
o 2051
 
5.5%
r 1610
 
4.3%
a 1585
 
4.2%
n 1569
 
4.2%
s 1565
 
4.2%
i 1455
 
3.9%
t 1416
 
3.8%
E 1115
 
3.0%
Other values (71) 16985
45.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 37521
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5570
 
14.8%
e 2600
 
6.9%
o 2051
 
5.5%
r 1610
 
4.3%
a 1585
 
4.2%
n 1569
 
4.2%
s 1565
 
4.2%
i 1455
 
3.9%
t 1416
 
3.8%
E 1115
 
3.0%
Other values (71) 16985
45.3%
Distinct144
Distinct (%)24.8%
Missing17006
Missing (%)96.7%
Memory size590.6 KiB
2025-04-14T23:35:02.386330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length71
Mean length44.7
Min length12

Characters and Unicode

Total characters25926
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)10.7%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*45 Drying Mops-air dry
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*43 Clean vent syst:Intake/exhaust air ducts
5th row*03 Food products not maintained at 135øF or above
ValueCountFrequency (%)
food 156
 
3.8%
91
 
2.2%
in 88
 
2.2%
for 61
 
1.5%
or 60
 
1.5%
and 51
 
1.3%
47 48
 
1.2%
45 48
 
1.2%
good 47
 
1.2%
repair 47
 
1.2%
Other values (483) 3367
82.8%
2025-04-14T23:35:02.763840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3558
13.7%
e 2144
 
8.3%
o 1883
 
7.3%
i 1608
 
6.2%
n 1579
 
6.1%
t 1473
 
5.7%
s 1433
 
5.5%
a 1318
 
5.1%
r 1254
 
4.8%
d 933
 
3.6%
Other values (67) 8743
33.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 25926
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3558
13.7%
e 2144
 
8.3%
o 1883
 
7.3%
i 1608
 
6.2%
n 1579
 
6.1%
t 1473
 
5.7%
s 1433
 
5.5%
a 1318
 
5.1%
r 1254
 
4.8%
d 933
 
3.6%
Other values (67) 8743
33.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 25926
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3558
13.7%
e 2144
 
8.3%
o 1883
 
7.3%
i 1608
 
6.2%
n 1579
 
6.1%
t 1473
 
5.7%
s 1433
 
5.5%
a 1318
 
5.1%
r 1254
 
4.8%
d 933
 
3.6%
Other values (67) 8743
33.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 25926
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3558
13.7%
e 2144
 
8.3%
o 1883
 
7.3%
i 1608
 
6.2%
n 1579
 
6.1%
t 1473
 
5.7%
s 1433
 
5.5%
a 1318
 
5.1%
r 1254
 
4.8%
d 933
 
3.6%
Other values (67) 8743
33.7%

Violation Points - 13
Categorical

Missing 

Distinct3
Distinct (%)0.5%
Missing17006
Missing (%)96.7%
Memory size1.1 MiB
1.0
355 
2.0
123 
3.0
102 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1740
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 355
 
2.0%
2.0 123
 
0.7%
3.0 102
 
0.6%
(Missing) 17006
96.7%

Length

2025-04-14T23:35:02.871244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:02.975127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 355
61.2%
2.0 123
 
21.2%
3.0 102
 
17.6%

Most occurring characters

ValueCountFrequency (%)
. 580
33.3%
0 580
33.3%
1 355
20.4%
2 123
 
7.1%
3 102
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1740
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 580
33.3%
0 580
33.3%
1 355
20.4%
2 123
 
7.1%
3 102
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1740
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 580
33.3%
0 580
33.3%
1 355
20.4%
2 123
 
7.1%
3 102
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1740
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 580
33.3%
0 580
33.3%
1 355
20.4%
2 123
 
7.1%
3 102
 
5.9%

Violation Detail - 13
Text

Missing 

Distinct147
Distinct (%)25.9%
Missing17019
Missing (%)96.8%
Memory size785.4 KiB
2025-04-14T23:35:03.344675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length492
Mean length342.16755
Min length125

Characters and Unicode

Total characters194009
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)11.6%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
5th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
ValueCountFrequency (%)
and 1514
 
5.7%
food 1143
 
4.3%
of 882
 
3.3%
the 730
 
2.8%
a 707
 
2.7%
shall 610
 
2.3%
be 563
 
2.1%
in 559
 
2.1%
equipment 524
 
2.0%
or 460
 
1.7%
Other values (1151) 18793
71.0%
2025-04-14T23:35:03.980665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39665
20.4%
e 16441
 
8.5%
i 11627
 
6.0%
n 11342
 
5.8%
a 11205
 
5.8%
s 10674
 
5.5%
t 10645
 
5.5%
o 10368
 
5.3%
r 7601
 
3.9%
d 6478
 
3.3%
Other values (61) 57963
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 194009
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
39665
20.4%
e 16441
 
8.5%
i 11627
 
6.0%
n 11342
 
5.8%
a 11205
 
5.8%
s 10674
 
5.5%
t 10645
 
5.5%
o 10368
 
5.3%
r 7601
 
3.9%
d 6478
 
3.3%
Other values (61) 57963
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 194009
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
39665
20.4%
e 16441
 
8.5%
i 11627
 
6.0%
n 11342
 
5.8%
a 11205
 
5.8%
s 10674
 
5.5%
t 10645
 
5.5%
o 10368
 
5.3%
r 7601
 
3.9%
d 6478
 
3.3%
Other values (61) 57963
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 194009
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
39665
20.4%
e 16441
 
8.5%
i 11627
 
6.0%
n 11342
 
5.8%
a 11205
 
5.8%
s 10674
 
5.5%
t 10645
 
5.5%
o 10368
 
5.3%
r 7601
 
3.9%
d 6478
 
3.3%
Other values (61) 57963
29.9%

Violation Memo - 13
Text

Missing 

Distinct466
Distinct (%)94.7%
Missing17094
Missing (%)97.2%
Memory size585.0 KiB
2025-04-14T23:35:04.430063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length881
Median length101
Mean length48.077236
Min length5

Characters and Unicode

Total characters23654
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique448 ?
Unique (%)91.1%

Sample

1st rowClean pizza prep counters Clean floors
2nd rowDump dirty mop water and hang mop
3rd rowREMOVE DUST FROM CEILING IN KITCHEN, CLEAN GASKETS, FRP, WALLS, FLOORS & DRAINS
4th rowDUSTY INTAKE VENTS
5th rowG. CHICKEN 57.8 & G. BEEF 57.7
ValueCountFrequency (%)
in 137
 
3.5%
food 107
 
2.7%
and 81
 
2.1%
on 72
 
1.8%
observed 63
 
1.6%
clean 62
 
1.6%
to 55
 
1.4%
all 54
 
1.4%
provide 47
 
1.2%
the 43
 
1.1%
Other values (873) 3205
81.6%
2025-04-14T23:35:05.168604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3572
 
15.1%
e 1629
 
6.9%
o 1238
 
5.2%
a 1018
 
4.3%
n 1009
 
4.3%
r 982
 
4.2%
t 982
 
4.2%
s 973
 
4.1%
i 941
 
4.0%
E 674
 
2.8%
Other values (71) 10636
45.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23654
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3572
 
15.1%
e 1629
 
6.9%
o 1238
 
5.2%
a 1018
 
4.3%
n 1009
 
4.3%
r 982
 
4.2%
t 982
 
4.2%
s 973
 
4.1%
i 941
 
4.0%
E 674
 
2.8%
Other values (71) 10636
45.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23654
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3572
 
15.1%
e 1629
 
6.9%
o 1238
 
5.2%
a 1018
 
4.3%
n 1009
 
4.3%
r 982
 
4.2%
t 982
 
4.2%
s 973
 
4.1%
i 941
 
4.0%
E 674
 
2.8%
Other values (71) 10636
45.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23654
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3572
 
15.1%
e 1629
 
6.9%
o 1238
 
5.2%
a 1018
 
4.3%
n 1009
 
4.3%
r 982
 
4.2%
t 982
 
4.2%
s 973
 
4.1%
i 941
 
4.0%
E 674
 
2.8%
Other values (71) 10636
45.0%
Distinct127
Distinct (%)31.0%
Missing17176
Missing (%)97.7%
Memory size578.8 KiB
2025-04-14T23:35:06.106938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length45.480488
Min length12

Characters and Unicode

Total characters18647
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)13.9%

Sample

1st row*32 Damaged Equipment
2nd row*34 Outer openings:closed,tight-fitting windows
3rd row*37 Food storage, prohibited areas under leaking water lines
4th row*30 Food Establishment Permit
5th row*06 Discard if TCS is in container w/ no date or day
ValueCountFrequency (%)
food 123
 
4.2%
63
 
2.2%
of 48
 
1.6%
in 47
 
1.6%
or 46
 
1.6%
47 41
 
1.4%
the 40
 
1.4%
other 36
 
1.2%
and 34
 
1.2%
for 32
 
1.1%
Other values (414) 2402
82.5%
2025-04-14T23:35:06.431913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2536
 
13.6%
e 1515
 
8.1%
o 1410
 
7.6%
i 1143
 
6.1%
n 1129
 
6.1%
t 1062
 
5.7%
s 968
 
5.2%
a 947
 
5.1%
r 861
 
4.6%
d 638
 
3.4%
Other values (65) 6438
34.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18647
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2536
 
13.6%
e 1515
 
8.1%
o 1410
 
7.6%
i 1143
 
6.1%
n 1129
 
6.1%
t 1062
 
5.7%
s 968
 
5.2%
a 947
 
5.1%
r 861
 
4.6%
d 638
 
3.4%
Other values (65) 6438
34.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18647
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2536
 
13.6%
e 1515
 
8.1%
o 1410
 
7.6%
i 1143
 
6.1%
n 1129
 
6.1%
t 1062
 
5.7%
s 968
 
5.2%
a 947
 
5.1%
r 861
 
4.6%
d 638
 
3.4%
Other values (65) 6438
34.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18647
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2536
 
13.6%
e 1515
 
8.1%
o 1410
 
7.6%
i 1143
 
6.1%
n 1129
 
6.1%
t 1062
 
5.7%
s 968
 
5.2%
a 947
 
5.1%
r 861
 
4.6%
d 638
 
3.4%
Other values (65) 6438
34.5%

Violation Points - 14
Categorical

Missing 

Distinct3
Distinct (%)0.7%
Missing17176
Missing (%)97.7%
Memory size1.1 MiB
1.0
231 
2.0
97 
3.0
82 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1230
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 231
 
1.3%
2.0 97
 
0.6%
3.0 82
 
0.5%
(Missing) 17176
97.7%

Length

2025-04-14T23:35:06.530373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:06.598412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 231
56.3%
2.0 97
23.7%
3.0 82
 
20.0%

Most occurring characters

ValueCountFrequency (%)
. 410
33.3%
0 410
33.3%
1 231
18.8%
2 97
 
7.9%
3 82
 
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1230
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 410
33.3%
0 410
33.3%
1 231
18.8%
2 97
 
7.9%
3 82
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1230
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 410
33.3%
0 410
33.3%
1 231
18.8%
2 97
 
7.9%
3 82
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1230
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 410
33.3%
0 410
33.3%
1 231
18.8%
2 97
 
7.9%
3 82
 
6.7%

Violation Detail - 14
Text

Missing 

Distinct127
Distinct (%)31.8%
Missing17187
Missing (%)97.7%
Memory size719.8 KiB
2025-04-14T23:35:06.922077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length461
Mean length352.97243
Min length164

Characters and Unicode

Total characters140836
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)14.5%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (B) closed, tight-fitting windows; and
3rd row228.69 Food. Preventing contamination from the premises. (b) Food storage, prohibited areas. Food may not be stored: (7) under leaking water lines, including leaking automatic fire sprinkler heads, or under lines on which water has condensed;
4th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
5th row228.75 Food. Time and temperature control. (h) Ready-to-eat, TCS food, disposition. (1) A food specified in subsection (g)(1) or (2) of this section shall be discarded if it: (B) is in a container or package that does not bear a date or day; or
ValueCountFrequency (%)
and 1065
 
5.5%
food 854
 
4.4%
of 650
 
3.3%
the 595
 
3.1%
a 531
 
2.7%
shall 441
 
2.3%
be 406
 
2.1%
in 405
 
2.1%
or 351
 
1.8%
equipment 321
 
1.7%
Other values (1060) 13806
71.1%
2025-04-14T23:35:07.418872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29162
20.7%
e 11790
 
8.4%
a 8205
 
5.8%
n 8128
 
5.8%
i 8120
 
5.8%
o 7832
 
5.6%
t 7767
 
5.5%
s 7482
 
5.3%
r 5624
 
4.0%
d 4751
 
3.4%
Other values (61) 41975
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140836
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29162
20.7%
e 11790
 
8.4%
a 8205
 
5.8%
n 8128
 
5.8%
i 8120
 
5.8%
o 7832
 
5.6%
t 7767
 
5.5%
s 7482
 
5.3%
r 5624
 
4.0%
d 4751
 
3.4%
Other values (61) 41975
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140836
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29162
20.7%
e 11790
 
8.4%
a 8205
 
5.8%
n 8128
 
5.8%
i 8120
 
5.8%
o 7832
 
5.6%
t 7767
 
5.5%
s 7482
 
5.3%
r 5624
 
4.0%
d 4751
 
3.4%
Other values (61) 41975
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140836
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29162
20.7%
e 11790
 
8.4%
a 8205
 
5.8%
n 8128
 
5.8%
i 8120
 
5.8%
o 7832
 
5.6%
t 7767
 
5.5%
s 7482
 
5.3%
r 5624
 
4.0%
d 4751
 
3.4%
Other values (61) 41975
29.8%

Violation Memo - 14
Text

Missing 

Distinct338
Distinct (%)95.2%
Missing17231
Missing (%)98.0%
Memory size574.8 KiB
2025-04-14T23:35:07.801799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length264
Median length93
Mean length46.904225
Min length7

Characters and Unicode

Total characters16651
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique327 ?
Unique (%)92.1%

Sample

1st rowObserved large amount of water siting, repair cooler unit in WIC
2nd rowCLOSE ALL OUTERS OPENINGS ( DOORS, HOLES & GAPS)
3rd rowOBSERVED FOOD ITEMS STORED UNDER LEAKING CONDENSATION
4th rowPOST HEALTH PERMIT, CO , RFSM & TAX STATEMENT IN FRONT OF ESTABLISHMENT FOR CUSTOMERS' VIEW
5th rowLETTUCE 73*F ON PREP TABLE
ValueCountFrequency (%)
in 93
 
3.3%
food 85
 
3.0%
on 61
 
2.2%
and 58
 
2.0%
observed 48
 
1.7%
of 45
 
1.6%
all 44
 
1.6%
hand 40
 
1.4%
clean 40
 
1.4%
to 38
 
1.3%
Other values (681) 2279
80.5%
2025-04-14T23:35:08.344551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2508
 
15.1%
e 1081
 
6.5%
o 793
 
4.8%
n 701
 
4.2%
a 613
 
3.7%
t 601
 
3.6%
s 600
 
3.6%
i 596
 
3.6%
r 583
 
3.5%
E 583
 
3.5%
Other values (66) 7992
48.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16651
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2508
 
15.1%
e 1081
 
6.5%
o 793
 
4.8%
n 701
 
4.2%
a 613
 
3.7%
t 601
 
3.6%
s 600
 
3.6%
i 596
 
3.6%
r 583
 
3.5%
E 583
 
3.5%
Other values (66) 7992
48.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16651
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2508
 
15.1%
e 1081
 
6.5%
o 793
 
4.8%
n 701
 
4.2%
a 613
 
3.7%
t 601
 
3.6%
s 600
 
3.6%
i 596
 
3.6%
r 583
 
3.5%
E 583
 
3.5%
Other values (66) 7992
48.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16651
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2508
 
15.1%
e 1081
 
6.5%
o 793
 
4.8%
n 701
 
4.2%
a 613
 
3.7%
t 601
 
3.6%
s 600
 
3.6%
i 596
 
3.6%
r 583
 
3.5%
E 583
 
3.5%
Other values (66) 7992
48.0%
Distinct112
Distinct (%)39.9%
Missing17305
Missing (%)98.4%
Memory size570.0 KiB
2025-04-14T23:35:08.687223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length69
Mean length46.352313
Min length16

Characters and Unicode

Total characters13025
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)21.7%

Sample

1st row*15 Bare hands contact with ready-to-eat foods
2nd row*45 Floor contruction requirements
3rd row*44 Trash can provided for papertowel waste
4th row*10 Sanitization after Cleaning
5th row*21 RFSM - Not On Site
ValueCountFrequency (%)
food 88
 
4.3%
58
 
2.8%
in 39
 
1.9%
or 37
 
1.8%
42 28
 
1.4%
dirty 25
 
1.2%
the 24
 
1.2%
39 22
 
1.1%
not 22
 
1.1%
for 21
 
1.0%
Other values (386) 1676
82.2%
2025-04-14T23:35:09.172131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1799
13.8%
e 1014
 
7.8%
o 996
 
7.6%
n 805
 
6.2%
t 767
 
5.9%
i 767
 
5.9%
a 684
 
5.3%
s 660
 
5.1%
r 620
 
4.8%
d 455
 
3.5%
Other values (64) 4458
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13025
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1799
13.8%
e 1014
 
7.8%
o 996
 
7.6%
n 805
 
6.2%
t 767
 
5.9%
i 767
 
5.9%
a 684
 
5.3%
s 660
 
5.1%
r 620
 
4.8%
d 455
 
3.5%
Other values (64) 4458
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13025
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1799
13.8%
e 1014
 
7.8%
o 996
 
7.6%
n 805
 
6.2%
t 767
 
5.9%
i 767
 
5.9%
a 684
 
5.3%
s 660
 
5.1%
r 620
 
4.8%
d 455
 
3.5%
Other values (64) 4458
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13025
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1799
13.8%
e 1014
 
7.8%
o 996
 
7.6%
n 805
 
6.2%
t 767
 
5.9%
i 767
 
5.9%
a 684
 
5.3%
s 660
 
5.1%
r 620
 
4.8%
d 455
 
3.5%
Other values (64) 4458
34.2%

Violation Points - 15
Categorical

Missing 

Distinct3
Distinct (%)1.1%
Missing17305
Missing (%)98.4%
Memory size1.1 MiB
1.0
167 
3.0
59 
2.0
55 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters843
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 167
 
0.9%
3.0 59
 
0.3%
2.0 55
 
0.3%
(Missing) 17305
98.4%

Length

2025-04-14T23:35:09.279563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:09.345388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 167
59.4%
3.0 59
 
21.0%
2.0 55
 
19.6%

Most occurring characters

ValueCountFrequency (%)
. 281
33.3%
0 281
33.3%
1 167
19.8%
3 59
 
7.0%
2 55
 
6.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 843
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 281
33.3%
0 281
33.3%
1 167
19.8%
3 59
 
7.0%
2 55
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 843
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 281
33.3%
0 281
33.3%
1 167
19.8%
3 59
 
7.0%
2 55
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 843
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 281
33.3%
0 281
33.3%
1 167
19.8%
3 59
 
7.0%
2 55
 
6.5%

Violation Detail - 15
Text

Missing 

Distinct112
Distinct (%)41.0%
Missing17313
Missing (%)98.4%
Memory size668.8 KiB
2025-04-14T23:35:09.663808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length470
Mean length362.20879
Min length163

Characters and Unicode

Total characters98883
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)22.7%

Sample

1st row228.65 Food. Preventing contamination by employees. (a) Preventing contamination from hands. (2) Except when washing fruits and vegetables as specified in õ228.66(e) of this title or as specified in paragraphs (4) and (5) of this subsection, food employees may not contact exposed, ready-to-eat food with their bare hands and shall use suitable utensils such as deli tissue, spatulas, tongs, single-use gloves, or dispensing equipment.
2nd rowSEC. 17-6.2. ADDITIONAL REQUIREMENTS. (c) Floors, walls, and ceilings. (2) Special requirements for floors. A food establishment shall: (A) construct floors that are water flushed for cleaning, or that receive discharges of liquid from equipment or pressure sprays, of sealed concrete, terrazzo, ceramic tile, or similar material that is graded to a properly installed trapped floor drain
3rd row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
4th row228.117 Equipment, Utensils, and Linens. Sanitization Frequency, Before Use After Cleaning. Utensils and food-contact surfaces of equipment shall be sanitized before use after cleaning.
5th rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
ValueCountFrequency (%)
and 758
 
5.6%
food 624
 
4.6%
of 458
 
3.4%
the 380
 
2.8%
a 332
 
2.4%
in 301
 
2.2%
shall 299
 
2.2%
be 283
 
2.1%
equipment 263
 
1.9%
or 222
 
1.6%
Other values (969) 9689
71.2%
2025-04-14T23:35:10.156772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20277
20.5%
e 8369
 
8.5%
n 5813
 
5.9%
a 5766
 
5.8%
i 5688
 
5.8%
o 5513
 
5.6%
t 5422
 
5.5%
s 5320
 
5.4%
r 3862
 
3.9%
d 3356
 
3.4%
Other values (60) 29497
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 98883
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
20277
20.5%
e 8369
 
8.5%
n 5813
 
5.9%
a 5766
 
5.8%
i 5688
 
5.8%
o 5513
 
5.6%
t 5422
 
5.5%
s 5320
 
5.4%
r 3862
 
3.9%
d 3356
 
3.4%
Other values (60) 29497
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 98883
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
20277
20.5%
e 8369
 
8.5%
n 5813
 
5.9%
a 5766
 
5.8%
i 5688
 
5.8%
o 5513
 
5.6%
t 5422
 
5.5%
s 5320
 
5.4%
r 3862
 
3.9%
d 3356
 
3.4%
Other values (60) 29497
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 98883
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
20277
20.5%
e 8369
 
8.5%
n 5813
 
5.9%
a 5766
 
5.8%
i 5688
 
5.8%
o 5513
 
5.6%
t 5422
 
5.5%
s 5320
 
5.4%
r 3862
 
3.9%
d 3356
 
3.4%
Other values (60) 29497
29.8%

Violation Memo - 15
Text

Missing 

Distinct224
Distinct (%)92.6%
Missing17344
Missing (%)98.6%
Memory size566.2 KiB
2025-04-14T23:35:10.515924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length200
Median length84
Mean length44.793388
Min length4

Characters and Unicode

Total characters10840
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)88.4%

Sample

1st rowBARE HAND CONTACT ON RTE FOOD
2nd rowREPAIR ALL
3rd rowPROVIDE TRASH CAN AT HAND SINK
4th rowLACK OF SANITIZER IN 3 COMP SINK
5th rowTUNA 51.4, C. CUCUMBERS 60.3
ValueCountFrequency (%)
on 57
 
3.1%
in 50
 
2.8%
food 48
 
2.6%
clean 45
 
2.5%
and 41
 
2.3%
stored 30
 
1.7%
observed 30
 
1.7%
all 27
 
1.5%
floor 24
 
1.3%
to 22
 
1.2%
Other values (542) 1440
79.4%
2025-04-14T23:35:11.056426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1594
 
14.7%
e 727
 
6.7%
o 568
 
5.2%
a 449
 
4.1%
n 443
 
4.1%
s 432
 
4.0%
t 426
 
3.9%
r 426
 
3.9%
i 396
 
3.7%
O 319
 
2.9%
Other values (63) 5060
46.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10840
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1594
 
14.7%
e 727
 
6.7%
o 568
 
5.2%
a 449
 
4.1%
n 443
 
4.1%
s 432
 
4.0%
t 426
 
3.9%
r 426
 
3.9%
i 396
 
3.7%
O 319
 
2.9%
Other values (63) 5060
46.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10840
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1594
 
14.7%
e 727
 
6.7%
o 568
 
5.2%
a 449
 
4.1%
n 443
 
4.1%
s 432
 
4.0%
t 426
 
3.9%
r 426
 
3.9%
i 396
 
3.7%
O 319
 
2.9%
Other values (63) 5060
46.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10840
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1594
 
14.7%
e 727
 
6.7%
o 568
 
5.2%
a 449
 
4.1%
n 443
 
4.1%
s 432
 
4.0%
t 426
 
3.9%
r 426
 
3.9%
i 396
 
3.7%
O 319
 
2.9%
Other values (63) 5060
46.7%
Distinct90
Distinct (%)48.6%
Missing17401
Missing (%)98.9%
Memory size562.6 KiB
2025-04-14T23:35:11.390487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length44.848649
Min length13

Characters and Unicode

Total characters8297
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)27.6%

Sample

1st row*10 Clean Sight and Touch
2nd row*02 Cold Hold (41øF/45øF or below)
3rd row*41 Food storage containers, identified with common name of food.
4th row*39 Equipment in good repair and proper adjustment.
5th row*41 Food Labeling - Bulk Food w/ Card or Sign
ValueCountFrequency (%)
food 50
 
3.9%
29
 
2.3%
or 25
 
1.9%
in 25
 
1.9%
47 22
 
1.7%
and 22
 
1.7%
42 17
 
1.3%
dirty 17
 
1.3%
the 17
 
1.3%
39 16
 
1.2%
Other values (355) 1046
81.3%
2025-04-14T23:35:11.853740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1118
13.5%
e 676
 
8.1%
o 614
 
7.4%
i 534
 
6.4%
n 518
 
6.2%
t 483
 
5.8%
s 451
 
5.4%
a 433
 
5.2%
r 401
 
4.8%
d 295
 
3.6%
Other values (62) 2774
33.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8297
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1118
13.5%
e 676
 
8.1%
o 614
 
7.4%
i 534
 
6.4%
n 518
 
6.2%
t 483
 
5.8%
s 451
 
5.4%
a 433
 
5.2%
r 401
 
4.8%
d 295
 
3.6%
Other values (62) 2774
33.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8297
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1118
13.5%
e 676
 
8.1%
o 614
 
7.4%
i 534
 
6.4%
n 518
 
6.2%
t 483
 
5.8%
s 451
 
5.4%
a 433
 
5.2%
r 401
 
4.8%
d 295
 
3.6%
Other values (62) 2774
33.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8297
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1118
13.5%
e 676
 
8.1%
o 614
 
7.4%
i 534
 
6.4%
n 518
 
6.2%
t 483
 
5.8%
s 451
 
5.4%
a 433
 
5.2%
r 401
 
4.8%
d 295
 
3.6%
Other values (62) 2774
33.4%

Violation Points - 16
Categorical

Missing 

Distinct3
Distinct (%)1.6%
Missing17401
Missing (%)98.9%
Memory size1.1 MiB
1.0
118 
2.0
34 
3.0
33 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters555
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 118
 
0.7%
2.0 34
 
0.2%
3.0 33
 
0.2%
(Missing) 17401
98.9%

Length

2025-04-14T23:35:11.965867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:12.046082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 118
63.8%
2.0 34
 
18.4%
3.0 33
 
17.8%

Most occurring characters

ValueCountFrequency (%)
. 185
33.3%
0 185
33.3%
1 118
21.3%
2 34
 
6.1%
3 33
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 555
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 185
33.3%
0 185
33.3%
1 118
21.3%
2 34
 
6.1%
3 33
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 555
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 185
33.3%
0 185
33.3%
1 118
21.3%
2 34
 
6.1%
3 33
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 555
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 185
33.3%
0 185
33.3%
1 118
21.3%
2 34
 
6.1%
3 33
 
5.9%

Violation Detail - 16
Text

Missing 

Distinct91
Distinct (%)50.6%
Missing17406
Missing (%)99.0%
Memory size621.9 KiB
2025-04-14T23:35:12.353245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length458
Mean length338.46111
Min length125

Characters and Unicode

Total characters60923
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)30.0%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
2nd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
3rd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
4th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (a) Good repair and proper adjustment. (1) Equipment shall be maintained in a state of repair and condition that meets the requirements specified in õõ228.101 - 228.106 of this title.
5th row228.79 Food. Labeling. (a) Food labels. (3) Bulk food that is available for consumer self-dispensing shall be prominently labeled with the following information in plain view of the consumer: (B) a card, sign, or other method of notification that includes the information specified in paragraph (2)(A), (B), and (F) of this subsection.
ValueCountFrequency (%)
and 467
 
5.6%
food 332
 
4.0%
of 282
 
3.4%
the 237
 
2.9%
a 224
 
2.7%
shall 199
 
2.4%
be 183
 
2.2%
equipment 176
 
2.1%
in 149
 
1.8%
or 147
 
1.8%
Other values (867) 5904
71.1%
2025-04-14T23:35:12.850473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12789
21.0%
e 5042
 
8.3%
i 3588
 
5.9%
n 3538
 
5.8%
a 3487
 
5.7%
s 3387
 
5.6%
t 3299
 
5.4%
o 3252
 
5.3%
r 2309
 
3.8%
d 1995
 
3.3%
Other values (61) 18237
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 60923
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12789
21.0%
e 5042
 
8.3%
i 3588
 
5.9%
n 3538
 
5.8%
a 3487
 
5.7%
s 3387
 
5.6%
t 3299
 
5.4%
o 3252
 
5.3%
r 2309
 
3.8%
d 1995
 
3.3%
Other values (61) 18237
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 60923
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12789
21.0%
e 5042
 
8.3%
i 3588
 
5.9%
n 3538
 
5.8%
a 3487
 
5.7%
s 3387
 
5.6%
t 3299
 
5.4%
o 3252
 
5.3%
r 2309
 
3.8%
d 1995
 
3.3%
Other values (61) 18237
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 60923
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12789
21.0%
e 5042
 
8.3%
i 3588
 
5.9%
n 3538
 
5.8%
a 3487
 
5.7%
s 3387
 
5.6%
t 3299
 
5.4%
o 3252
 
5.3%
r 2309
 
3.8%
d 1995
 
3.3%
Other values (61) 18237
29.9%

Violation Memo - 16
Text

Missing 

Distinct157
Distinct (%)92.9%
Missing17417
Missing (%)99.0%
Memory size561.5 KiB
2025-04-14T23:35:13.157118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length149
Median length80
Mean length46.384615
Min length9

Characters and Unicode

Total characters7839
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)89.9%

Sample

1st rowCLEAN ALL FOOD CONTACT SURFACES
2nd rowS. LETTUCE 66.7, S. TOM 65.2 & ARTICHOKE 61.1
3rd rowPROVIDE FOR ALL
4th rowRepair leak from ice maker
5th rowLABEL LARGE CONTAINER
ValueCountFrequency (%)
in 57
 
4.3%
food 34
 
2.6%
all 28
 
2.1%
hand 27
 
2.0%
and 26
 
2.0%
provide 25
 
1.9%
stored 24
 
1.8%
on 23
 
1.7%
clean 23
 
1.7%
for 18
 
1.4%
Other values (459) 1042
78.5%
2025-04-14T23:35:13.623954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1178
 
15.0%
e 529
 
6.7%
o 455
 
5.8%
s 369
 
4.7%
n 352
 
4.5%
r 350
 
4.5%
i 342
 
4.4%
a 334
 
4.3%
t 330
 
4.2%
d 238
 
3.0%
Other values (62) 3362
42.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7839
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1178
 
15.0%
e 529
 
6.7%
o 455
 
5.8%
s 369
 
4.7%
n 352
 
4.5%
r 350
 
4.5%
i 342
 
4.4%
a 334
 
4.3%
t 330
 
4.2%
d 238
 
3.0%
Other values (62) 3362
42.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7839
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1178
 
15.0%
e 529
 
6.7%
o 455
 
5.8%
s 369
 
4.7%
n 352
 
4.5%
r 350
 
4.5%
i 342
 
4.4%
a 334
 
4.3%
t 330
 
4.2%
d 238
 
3.0%
Other values (62) 3362
42.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7839
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1178
 
15.0%
e 529
 
6.7%
o 455
 
5.8%
s 369
 
4.7%
n 352
 
4.5%
r 350
 
4.5%
i 342
 
4.4%
a 334
 
4.3%
t 330
 
4.2%
d 238
 
3.0%
Other values (62) 3362
42.9%
Distinct70
Distinct (%)58.3%
Missing17466
Missing (%)99.3%
Memory size558.4 KiB
2025-04-14T23:35:13.894756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length47.95
Min length16

Characters and Unicode

Total characters5754
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)36.7%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*39 Store all equipment & utensil covered or inverted
3rd row*28 Do not exceed manuf. use by date
4th row*07 Food safe, good condition, unadulterated, and honestly presented
5th row*14 When to wash hands before donning new gloves
ValueCountFrequency (%)
food 38
 
4.2%
22
 
2.4%
or 20
 
2.2%
in 18
 
2.0%
42 11
 
1.2%
shall 11
 
1.2%
dirty 11
 
1.2%
45 11
 
1.2%
premises 10
 
1.1%
be 10
 
1.1%
Other values (311) 736
82.0%
2025-04-14T23:35:14.316829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
800
13.9%
e 483
 
8.4%
o 429
 
7.5%
n 367
 
6.4%
i 340
 
5.9%
a 309
 
5.4%
t 304
 
5.3%
s 300
 
5.2%
r 280
 
4.9%
d 200
 
3.5%
Other values (61) 1942
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5754
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
800
13.9%
e 483
 
8.4%
o 429
 
7.5%
n 367
 
6.4%
i 340
 
5.9%
a 309
 
5.4%
t 304
 
5.3%
s 300
 
5.2%
r 280
 
4.9%
d 200
 
3.5%
Other values (61) 1942
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5754
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
800
13.9%
e 483
 
8.4%
o 429
 
7.5%
n 367
 
6.4%
i 340
 
5.9%
a 309
 
5.4%
t 304
 
5.3%
s 300
 
5.2%
r 280
 
4.9%
d 200
 
3.5%
Other values (61) 1942
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5754
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
800
13.9%
e 483
 
8.4%
o 429
 
7.5%
n 367
 
6.4%
i 340
 
5.9%
a 309
 
5.4%
t 304
 
5.3%
s 300
 
5.2%
r 280
 
4.9%
d 200
 
3.5%
Other values (61) 1942
33.8%

Violation Points - 17
Categorical

Missing 

Distinct3
Distinct (%)2.5%
Missing17466
Missing (%)99.3%
Memory size1.1 MiB
1.0
78 
2.0
21 
3.0
21 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters360
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 78
 
0.4%
2.0 21
 
0.1%
3.0 21
 
0.1%
(Missing) 17466
99.3%

Length

2025-04-14T23:35:14.424859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:14.491414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 78
65.0%
2.0 21
 
17.5%
3.0 21
 
17.5%

Most occurring characters

ValueCountFrequency (%)
. 120
33.3%
0 120
33.3%
1 78
21.7%
2 21
 
5.8%
3 21
 
5.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 360
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 120
33.3%
0 120
33.3%
1 78
21.7%
2 21
 
5.8%
3 21
 
5.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 360
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 120
33.3%
0 120
33.3%
1 78
21.7%
2 21
 
5.8%
3 21
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 360
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 120
33.3%
0 120
33.3%
1 78
21.7%
2 21
 
5.8%
3 21
 
5.8%

Violation Detail - 17
Text

Missing 

Distinct71
Distinct (%)59.2%
Missing17466
Missing (%)99.3%
Memory size600.4 KiB
2025-04-14T23:35:14.820059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length459.5
Mean length358.9
Min length148

Characters and Unicode

Total characters43068
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)38.3%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.
3rd row228.75 Food. Time and temperature control. (g) Ready-to-eat TCS food, date marking. (4) A date marking system that meets the criteria stated in paragraphs (1) and (2) of this subsection may include: (B) marking the date or day of preparation, with a procedure to discard the food on or before the last date or day by which the food must be consumed on the premises, sold, or discarded as specified in paragraph (1) of this subsection;
4th row228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.
5th row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
ValueCountFrequency (%)
and 338
 
5.7%
food 235
 
4.0%
of 210
 
3.5%
the 196
 
3.3%
a 156
 
2.6%
shall 137
 
2.3%
be 115
 
1.9%
in 114
 
1.9%
equipment 108
 
1.8%
or 106
 
1.8%
Other values (831) 4222
71.1%
2025-04-14T23:35:15.357440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8714
20.2%
e 3630
 
8.4%
a 2577
 
6.0%
i 2567
 
6.0%
n 2551
 
5.9%
s 2360
 
5.5%
t 2329
 
5.4%
o 2308
 
5.4%
r 1722
 
4.0%
d 1445
 
3.4%
Other values (61) 12865
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 43068
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8714
20.2%
e 3630
 
8.4%
a 2577
 
6.0%
i 2567
 
6.0%
n 2551
 
5.9%
s 2360
 
5.5%
t 2329
 
5.4%
o 2308
 
5.4%
r 1722
 
4.0%
d 1445
 
3.4%
Other values (61) 12865
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 43068
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8714
20.2%
e 3630
 
8.4%
a 2577
 
6.0%
i 2567
 
6.0%
n 2551
 
5.9%
s 2360
 
5.5%
t 2329
 
5.4%
o 2308
 
5.4%
r 1722
 
4.0%
d 1445
 
3.4%
Other values (61) 12865
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 43068
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8714
20.2%
e 3630
 
8.4%
a 2577
 
6.0%
i 2567
 
6.0%
n 2551
 
5.9%
s 2360
 
5.5%
t 2329
 
5.4%
o 2308
 
5.4%
r 1722
 
4.0%
d 1445
 
3.4%
Other values (61) 12865
29.9%

Violation Memo - 17
Text

Missing 

Distinct103
Distinct (%)97.2%
Missing17480
Missing (%)99.4%
Memory size557.2 KiB
2025-04-14T23:35:15.727825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length159
Median length70
Mean length47.226415
Min length10

Characters and Unicode

Total characters5006
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)96.2%

Sample

1st rowCLEAN FLOORS , WALLS & DRAINS ( FAN)
2nd rowINVERT / COVER ALL DISH WARE
3rd rowYOGURT FROM 5/21
4th rowDiscard dented cans
5th rowDONNING GLOVES WITHOUT WASHING HANDS & LACKING OF HAND WASHING
ValueCountFrequency (%)
in 22
 
2.7%
and 18
 
2.2%
on 15
 
1.8%
the 14
 
1.7%
14
 
1.7%
all 13
 
1.6%
clean 13
 
1.6%
to 13
 
1.6%
observed 13
 
1.6%
food 11
 
1.3%
Other values (361) 677
82.3%
2025-04-14T23:35:16.466077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
736
 
14.7%
e 386
 
7.7%
o 290
 
5.8%
n 251
 
5.0%
i 250
 
5.0%
a 234
 
4.7%
s 234
 
4.7%
t 227
 
4.5%
r 221
 
4.4%
l 172
 
3.4%
Other values (57) 2005
40.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5006
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
736
 
14.7%
e 386
 
7.7%
o 290
 
5.8%
n 251
 
5.0%
i 250
 
5.0%
a 234
 
4.7%
s 234
 
4.7%
t 227
 
4.5%
r 221
 
4.4%
l 172
 
3.4%
Other values (57) 2005
40.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5006
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
736
 
14.7%
e 386
 
7.7%
o 290
 
5.8%
n 251
 
5.0%
i 250
 
5.0%
a 234
 
4.7%
s 234
 
4.7%
t 227
 
4.5%
r 221
 
4.4%
l 172
 
3.4%
Other values (57) 2005
40.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5006
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
736
 
14.7%
e 386
 
7.7%
o 290
 
5.8%
n 251
 
5.0%
i 250
 
5.0%
a 234
 
4.7%
s 234
 
4.7%
t 227
 
4.5%
r 221
 
4.4%
l 172
 
3.4%
Other values (57) 2005
40.1%
Distinct49
Distinct (%)69.0%
Missing17515
Missing (%)99.6%
Memory size554.9 KiB
2025-04-14T23:35:16.900945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length49
Mean length48.746479
Min length20

Characters and Unicode

Total characters3461
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)46.5%

Sample

1st row*18 Toxic items labeling-non original container
2nd row*32 Damaged Equipment
3rd row*44 Trash can provided for papertowel waste
4th row*41 Food storage containers, identified with common name of food.
5th row*42 Floors/walls/ceiling/nonfood dirty
ValueCountFrequency (%)
food 29
 
5.3%
12
 
2.2%
in 9
 
1.6%
43 9
 
1.6%
light 9
 
1.6%
provided 8
 
1.5%
or 8
 
1.5%
of 7
 
1.3%
and 7
 
1.3%
the 7
 
1.3%
Other values (227) 443
80.8%
2025-04-14T23:35:17.530636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
488
14.1%
e 283
 
8.2%
o 262
 
7.6%
i 204
 
5.9%
n 198
 
5.7%
t 194
 
5.6%
s 182
 
5.3%
a 180
 
5.2%
r 173
 
5.0%
d 121
 
3.5%
Other values (57) 1176
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3461
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
488
14.1%
e 283
 
8.2%
o 262
 
7.6%
i 204
 
5.9%
n 198
 
5.7%
t 194
 
5.6%
s 182
 
5.3%
a 180
 
5.2%
r 173
 
5.0%
d 121
 
3.5%
Other values (57) 1176
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3461
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
488
14.1%
e 283
 
8.2%
o 262
 
7.6%
i 204
 
5.9%
n 198
 
5.7%
t 194
 
5.6%
s 182
 
5.3%
a 180
 
5.2%
r 173
 
5.0%
d 121
 
3.5%
Other values (57) 1176
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3461
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
488
14.1%
e 283
 
8.2%
o 262
 
7.6%
i 204
 
5.9%
n 198
 
5.7%
t 194
 
5.6%
s 182
 
5.3%
a 180
 
5.2%
r 173
 
5.0%
d 121
 
3.5%
Other values (57) 1176
34.0%

Violation Points - 18
Categorical

Missing 

Distinct3
Distinct (%)4.2%
Missing17515
Missing (%)99.6%
Memory size1.1 MiB
1.0
43 
3.0
15 
2.0
13 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters213
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 43
 
0.2%
3.0 15
 
0.1%
2.0 13
 
0.1%
(Missing) 17515
99.6%

Length

2025-04-14T23:35:17.706156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:17.818139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 43
60.6%
3.0 15
 
21.1%
2.0 13
 
18.3%

Most occurring characters

ValueCountFrequency (%)
. 71
33.3%
0 71
33.3%
1 43
20.2%
3 15
 
7.0%
2 13
 
6.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 213
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 71
33.3%
0 71
33.3%
1 43
20.2%
3 15
 
7.0%
2 13
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 213
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 71
33.3%
0 71
33.3%
1 43
20.2%
3 15
 
7.0%
2 13
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 213
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 71
33.3%
0 71
33.3%
1 43
20.2%
3 15
 
7.0%
2 13
 
6.1%

Violation Detail - 18
Text

Missing 

Distinct49
Distinct (%)70.0%
Missing17516
Missing (%)99.6%
Memory size580.6 KiB
2025-04-14T23:35:18.263211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length436.5
Mean length384.41429
Min length194

Characters and Unicode

Total characters26909
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)48.6%

Sample

1st row228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.
2nd row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
3rd row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
4th row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
5th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
ValueCountFrequency (%)
and 221
 
5.9%
food 162
 
4.4%
of 111
 
3.0%
the 104
 
2.8%
a 86
 
2.3%
in 77
 
2.1%
shall 76
 
2.0%
or 75
 
2.0%
be 72
 
1.9%
equipment 67
 
1.8%
Other values (640) 2672
71.8%
2025-04-14T23:35:18.860519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5472
20.3%
e 2251
 
8.4%
a 1668
 
6.2%
n 1586
 
5.9%
i 1566
 
5.8%
o 1476
 
5.5%
s 1472
 
5.5%
t 1457
 
5.4%
r 1078
 
4.0%
d 930
 
3.5%
Other values (58) 7953
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26909
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5472
20.3%
e 2251
 
8.4%
a 1668
 
6.2%
n 1586
 
5.9%
i 1566
 
5.8%
o 1476
 
5.5%
s 1472
 
5.5%
t 1457
 
5.4%
r 1078
 
4.0%
d 930
 
3.5%
Other values (58) 7953
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26909
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5472
20.3%
e 2251
 
8.4%
a 1668
 
6.2%
n 1586
 
5.9%
i 1566
 
5.8%
o 1476
 
5.5%
s 1472
 
5.5%
t 1457
 
5.4%
r 1078
 
4.0%
d 930
 
3.5%
Other values (58) 7953
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26909
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5472
20.3%
e 2251
 
8.4%
a 1668
 
6.2%
n 1586
 
5.9%
i 1566
 
5.8%
o 1476
 
5.5%
s 1472
 
5.5%
t 1457
 
5.4%
r 1078
 
4.0%
d 930
 
3.5%
Other values (58) 7953
29.6%

Violation Memo - 18
Text

Missing 

Distinct62
Distinct (%)100.0%
Missing17524
Missing (%)99.6%
Memory size554.0 KiB
2025-04-14T23:35:19.213943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length116
Median length51
Mean length46.306452
Min length7

Characters and Unicode

Total characters2871
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st rowLABEL ALL TOXICS ITEMS (SPRAY BOTTLE)
2nd rowREMOVE RUST FROM PREP AREA & REPLACE CUTTING BOARDS
3rd rowPROVIDE
4th rowsalt shakers and squeeze bottles not labeled with name of contents.
5th rowfloors, walls and ceiling dirty with soils and grease accumulations must be clean to avoid cross contamination
ValueCountFrequency (%)
in 18
 
3.7%
food 16
 
3.3%
on 13
 
2.7%
of 11
 
2.2%
the 11
 
2.2%
and 9
 
1.8%
stored 9
 
1.8%
all 7
 
1.4%
to 7
 
1.4%
hand 7
 
1.4%
Other values (230) 382
78.0%
2025-04-14T23:35:19.731787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
438
15.3%
e 266
 
9.3%
o 198
 
6.9%
s 150
 
5.2%
n 148
 
5.2%
a 145
 
5.1%
t 141
 
4.9%
i 132
 
4.6%
r 132
 
4.6%
l 103
 
3.6%
Other values (53) 1018
35.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2871
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
438
15.3%
e 266
 
9.3%
o 198
 
6.9%
s 150
 
5.2%
n 148
 
5.2%
a 145
 
5.1%
t 141
 
4.9%
i 132
 
4.6%
r 132
 
4.6%
l 103
 
3.6%
Other values (53) 1018
35.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2871
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
438
15.3%
e 266
 
9.3%
o 198
 
6.9%
s 150
 
5.2%
n 148
 
5.2%
a 145
 
5.1%
t 141
 
4.9%
i 132
 
4.6%
r 132
 
4.6%
l 103
 
3.6%
Other values (53) 1018
35.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2871
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
438
15.3%
e 266
 
9.3%
o 198
 
6.9%
s 150
 
5.2%
n 148
 
5.2%
a 145
 
5.1%
t 141
 
4.9%
i 132
 
4.6%
r 132
 
4.6%
l 103
 
3.6%
Other values (53) 1018
35.5%
Distinct31
Distinct (%)68.9%
Missing17541
Missing (%)99.7%
Memory size553.0 KiB
2025-04-14T23:35:19.945892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length99
Median length65
Mean length46
Min length20

Characters and Unicode

Total characters2070
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)53.3%

Sample

1st row*10 Clean Sight and Touch
2nd row*03 Food products not maintained at 135øF or above
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*18 First aid kit not to contaminate food, utensil
5th row*43 Clean vent syst:Intake/exhaust air ducts
ValueCountFrequency (%)
food 16
 
5.1%
clean 7
 
2.2%
in 7
 
2.2%
grease 5
 
1.6%
for 5
 
1.6%
45 5
 
1.6%
protected 5
 
1.6%
cross 5
 
1.6%
and 5
 
1.6%
or 5
 
1.6%
Other values (148) 248
79.2%
2025-04-14T23:35:20.274844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
13.2%
e 175
 
8.5%
o 157
 
7.6%
t 127
 
6.1%
n 118
 
5.7%
a 118
 
5.7%
i 117
 
5.7%
s 117
 
5.7%
r 110
 
5.3%
d 75
 
3.6%
Other values (55) 682
32.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2070
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
274
13.2%
e 175
 
8.5%
o 157
 
7.6%
t 127
 
6.1%
n 118
 
5.7%
a 118
 
5.7%
i 117
 
5.7%
s 117
 
5.7%
r 110
 
5.3%
d 75
 
3.6%
Other values (55) 682
32.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2070
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
274
13.2%
e 175
 
8.5%
o 157
 
7.6%
t 127
 
6.1%
n 118
 
5.7%
a 118
 
5.7%
i 117
 
5.7%
s 117
 
5.7%
r 110
 
5.3%
d 75
 
3.6%
Other values (55) 682
32.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2070
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
274
13.2%
e 175
 
8.5%
o 157
 
7.6%
t 127
 
6.1%
n 118
 
5.7%
a 118
 
5.7%
i 117
 
5.7%
s 117
 
5.7%
r 110
 
5.3%
d 75
 
3.6%
Other values (55) 682
32.9%

Violation Points - 19
Categorical

Missing 

Distinct3
Distinct (%)6.7%
Missing17541
Missing (%)99.7%
Memory size1.1 MiB
1.0
27 
3.0
14 
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters135
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27
 
0.2%
3.0 14
 
0.1%
2.0 4
 
< 0.1%
(Missing) 17541
99.7%

Length

2025-04-14T23:35:20.382634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:20.451916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 27
60.0%
3.0 14
31.1%
2.0 4
 
8.9%

Most occurring characters

ValueCountFrequency (%)
. 45
33.3%
0 45
33.3%
1 27
20.0%
3 14
 
10.4%
2 4
 
3.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 135
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 45
33.3%
0 45
33.3%
1 27
20.0%
3 14
 
10.4%
2 4
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 135
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 45
33.3%
0 45
33.3%
1 27
20.0%
3 14
 
10.4%
2 4
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 135
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 45
33.3%
0 45
33.3%
1 27
20.0%
3 14
 
10.4%
2 4
 
3.0%

Violation Detail - 19
Text

Missing 

Distinct30
Distinct (%)68.2%
Missing17542
Missing (%)99.7%
Memory size566.2 KiB
2025-04-14T23:35:20.722278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length675
Median length392.5
Mean length327.34091
Min length205

Characters and Unicode

Total characters14403
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)52.3%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
2nd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.211 Poisonous or Toxic Materials. First aid supplies, storage. First aid supplies that are in a food establishment for the employees# use shall be: (2) stored in a kit or a container that is located to prevent the contamination of food, equipment, utensils, and linens, and single-service and single-use articles.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
ValueCountFrequency (%)
and 118
 
6.0%
a 63
 
3.2%
food 61
 
3.1%
of 59
 
3.0%
the 55
 
2.8%
shall 48
 
2.5%
equipment 41
 
2.1%
be 39
 
2.0%
in 27
 
1.4%
utensils 23
 
1.2%
Other values (441) 1425
72.7%
2025-04-14T23:35:21.135758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2969
20.6%
e 1199
 
8.3%
a 863
 
6.0%
i 819
 
5.7%
s 816
 
5.7%
t 786
 
5.5%
n 785
 
5.5%
o 730
 
5.1%
r 587
 
4.1%
d 471
 
3.3%
Other values (59) 4378
30.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14403
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2969
20.6%
e 1199
 
8.3%
a 863
 
6.0%
i 819
 
5.7%
s 816
 
5.7%
t 786
 
5.5%
n 785
 
5.5%
o 730
 
5.1%
r 587
 
4.1%
d 471
 
3.3%
Other values (59) 4378
30.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14403
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2969
20.6%
e 1199
 
8.3%
a 863
 
6.0%
i 819
 
5.7%
s 816
 
5.7%
t 786
 
5.5%
n 785
 
5.5%
o 730
 
5.1%
r 587
 
4.1%
d 471
 
3.3%
Other values (59) 4378
30.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14403
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2969
20.6%
e 1199
 
8.3%
a 863
 
6.0%
i 819
 
5.7%
s 816
 
5.7%
t 786
 
5.5%
n 785
 
5.5%
o 730
 
5.1%
r 587
 
4.1%
d 471
 
3.3%
Other values (59) 4378
30.4%

Violation Memo - 19
Text

Missing 

Distinct38
Distinct (%)97.4%
Missing17547
Missing (%)99.8%
Memory size552.5 KiB
2025-04-14T23:35:21.467233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length245
Median length54
Mean length48.153846
Min length9

Characters and Unicode

Total characters1878
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st rowUNSANITARY CONDITIONS- DEEP CLEAN EVERYTHING
2nd rowBEANS 89*F SITTING ON STOVE
3rd rowric grime build up, grime on walls and floors, grime on intake vents.
4th rowmissing first aid kit on site must be have first aid kit on site
5th rowAir intake vents soiled
ValueCountFrequency (%)
on 11
 
3.5%
grease 10
 
3.2%
and 9
 
2.9%
food 7
 
2.2%
floor 7
 
2.2%
in 7
 
2.2%
clean 6
 
1.9%
trap 6
 
1.9%
missing 5
 
1.6%
to 5
 
1.6%
Other values (160) 242
76.8%
2025-04-14T23:35:21.918695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
15.2%
e 170
 
9.1%
o 142
 
7.6%
r 118
 
6.3%
s 113
 
6.0%
n 105
 
5.6%
a 103
 
5.5%
i 103
 
5.5%
t 97
 
5.2%
d 75
 
4.0%
Other values (50) 566
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1878
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
286
15.2%
e 170
 
9.1%
o 142
 
7.6%
r 118
 
6.3%
s 113
 
6.0%
n 105
 
5.6%
a 103
 
5.5%
i 103
 
5.5%
t 97
 
5.2%
d 75
 
4.0%
Other values (50) 566
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1878
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
286
15.2%
e 170
 
9.1%
o 142
 
7.6%
r 118
 
6.3%
s 113
 
6.0%
n 105
 
5.6%
a 103
 
5.5%
i 103
 
5.5%
t 97
 
5.2%
d 75
 
4.0%
Other values (50) 566
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1878
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
286
15.2%
e 170
 
9.1%
o 142
 
7.6%
r 118
 
6.3%
s 113
 
6.0%
n 105
 
5.6%
a 103
 
5.5%
i 103
 
5.5%
t 97
 
5.2%
d 75
 
4.0%
Other values (50) 566
30.1%
Distinct23
Distinct (%)71.9%
Missing17554
Missing (%)99.8%
Memory size551.8 KiB
2025-04-14T23:35:22.225380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length99
Median length50
Mean length43.625
Min length20

Characters and Unicode

Total characters1396
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)50.0%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*37 Unpackaged food may not be stored in direct contact with undrained ice
3rd row*43 Clean vent syst:Intake/exhaust air ducts
4th row*44 Location of refuse/recycling storage areas
5th row*37 Food protected from cross contamination by storing the food in packages, covered containers, or
ValueCountFrequency (%)
food 7
 
3.4%
and 5
 
2.4%
in 5
 
2.4%
47 5
 
2.4%
of 5
 
2.4%
4
 
2.0%
grease 4
 
2.0%
not 4
 
2.0%
45 4
 
2.0%
46 3
 
1.5%
Other values (111) 159
77.6%
2025-04-14T23:35:22.671216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
12.6%
e 118
 
8.5%
o 100
 
7.2%
i 94
 
6.7%
n 90
 
6.4%
t 79
 
5.7%
s 79
 
5.7%
a 74
 
5.3%
r 70
 
5.0%
d 55
 
3.9%
Other values (51) 461
33.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1396
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
176
 
12.6%
e 118
 
8.5%
o 100
 
7.2%
i 94
 
6.7%
n 90
 
6.4%
t 79
 
5.7%
s 79
 
5.7%
a 74
 
5.3%
r 70
 
5.0%
d 55
 
3.9%
Other values (51) 461
33.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1396
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
176
 
12.6%
e 118
 
8.5%
o 100
 
7.2%
i 94
 
6.7%
n 90
 
6.4%
t 79
 
5.7%
s 79
 
5.7%
a 74
 
5.3%
r 70
 
5.0%
d 55
 
3.9%
Other values (51) 461
33.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1396
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
176
 
12.6%
e 118
 
8.5%
o 100
 
7.2%
i 94
 
6.7%
n 90
 
6.4%
t 79
 
5.7%
s 79
 
5.7%
a 74
 
5.3%
r 70
 
5.0%
d 55
 
3.9%
Other values (51) 461
33.0%

Violation Points - 20
Categorical

High correlation  Missing 

Distinct3
Distinct (%)9.4%
Missing17554
Missing (%)99.8%
Memory size1.1 MiB
1.0
25 
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters96
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 25
 
0.1%
2.0 4
 
< 0.1%
3.0 3
 
< 0.1%
(Missing) 17554
99.8%

Length

2025-04-14T23:35:22.780204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:22.846210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 25
78.1%
2.0 4
 
12.5%
3.0 3
 
9.4%

Most occurring characters

ValueCountFrequency (%)
. 32
33.3%
0 32
33.3%
1 25
26.0%
2 4
 
4.2%
3 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 96
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 32
33.3%
0 32
33.3%
1 25
26.0%
2 4
 
4.2%
3 3
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 96
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 32
33.3%
0 32
33.3%
1 25
26.0%
2 4
 
4.2%
3 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 96
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 32
33.3%
0 32
33.3%
1 25
26.0%
2 4
 
4.2%
3 3
 
3.1%

Violation Detail - 20
Text

Missing 

Distinct22
Distinct (%)71.0%
Missing17555
Missing (%)99.8%
Memory size561.1 KiB
2025-04-14T23:35:23.141280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length569
Median length356
Mean length319.64516
Min length205

Characters and Unicode

Total characters9909
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)48.4%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.67 Food. Preventing contamination from ice used as a coolant. (b) Storage or display of food in contact with water or ice. (2) Except as specified in paragraphs (3) and (4) of this subsection, unpackaged food may not be stored in direct contact with undrained ice.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
4th row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (j) Storage areas, redeeming machines, receptacles, and waste handling units, location. (1) An area designated for refuse, recyclables, returnables, and, except as specified in paragraph (2) of this subsection, a redeeming machine for recyclables or returnables shall be located so that it is separate from food, equipment, utensils, linens, and single-service and single-use articles and a public health hazard or nuisance is not created.
5th row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;
ValueCountFrequency (%)
and 75
 
5.6%
food 55
 
4.1%
of 39
 
2.9%
the 34
 
2.6%
a 34
 
2.6%
be 31
 
2.3%
shall 31
 
2.3%
equipment 27
 
2.0%
in 26
 
2.0%
to 21
 
1.6%
Other values (350) 958
72.0%
2025-04-14T23:35:23.608744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1977
20.0%
e 832
 
8.4%
s 594
 
6.0%
i 580
 
5.9%
a 578
 
5.8%
n 574
 
5.8%
t 538
 
5.4%
o 533
 
5.4%
r 377
 
3.8%
d 339
 
3.4%
Other values (55) 2987
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9909
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1977
20.0%
e 832
 
8.4%
s 594
 
6.0%
i 580
 
5.9%
a 578
 
5.8%
n 574
 
5.8%
t 538
 
5.4%
o 533
 
5.4%
r 377
 
3.8%
d 339
 
3.4%
Other values (55) 2987
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9909
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1977
20.0%
e 832
 
8.4%
s 594
 
6.0%
i 580
 
5.9%
a 578
 
5.8%
n 574
 
5.8%
t 538
 
5.4%
o 533
 
5.4%
r 377
 
3.8%
d 339
 
3.4%
Other values (55) 2987
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9909
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1977
20.0%
e 832
 
8.4%
s 594
 
6.0%
i 580
 
5.9%
a 578
 
5.8%
n 574
 
5.8%
t 538
 
5.4%
o 533
 
5.4%
r 377
 
3.8%
d 339
 
3.4%
Other values (55) 2987
30.1%

Violation Memo - 20
Text

Missing 

Distinct29
Distinct (%)100.0%
Missing17557
Missing (%)99.8%
Memory size551.6 KiB
2025-04-14T23:35:23.913305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length92
Median length53
Mean length42.034483
Min length17

Characters and Unicode

Total characters1219
Distinct characters56
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowCLEAN FRPS, WALLS, FLOORS, FAN VENT COVERS & GASKETS
2nd rowLETTUCE STORED IN STANDING WATER
3rd rowdust on intake vents.
4th rowarticles with undesigned areas creating public health nuisance
5th rowCOVER ALL FOOD ITEMS
ValueCountFrequency (%)
on 7
 
3.3%
hand 7
 
3.3%
no 6
 
2.9%
vent 5
 
2.4%
in 5
 
2.4%
clean 4
 
1.9%
sign 4
 
1.9%
available 4
 
1.9%
health 3
 
1.4%
to 3
 
1.4%
Other values (112) 161
77.0%
2025-04-14T23:35:24.341697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
15.1%
e 85
 
7.0%
n 77
 
6.3%
i 72
 
5.9%
s 64
 
5.3%
a 62
 
5.1%
o 60
 
4.9%
t 57
 
4.7%
r 40
 
3.3%
l 37
 
3.0%
Other values (46) 481
39.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1219
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
184
 
15.1%
e 85
 
7.0%
n 77
 
6.3%
i 72
 
5.9%
s 64
 
5.3%
a 62
 
5.1%
o 60
 
4.9%
t 57
 
4.7%
r 40
 
3.3%
l 37
 
3.0%
Other values (46) 481
39.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1219
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
184
 
15.1%
e 85
 
7.0%
n 77
 
6.3%
i 72
 
5.9%
s 64
 
5.3%
a 62
 
5.1%
o 60
 
4.9%
t 57
 
4.7%
r 40
 
3.3%
l 37
 
3.0%
Other values (46) 481
39.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1219
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
184
 
15.1%
e 85
 
7.0%
n 77
 
6.3%
i 72
 
5.9%
s 64
 
5.3%
a 62
 
5.1%
o 60
 
4.9%
t 57
 
4.7%
r 40
 
3.3%
l 37
 
3.0%
Other values (46) 481
39.5%
Distinct15
Distinct (%)83.3%
Missing17568
Missing (%)99.9%
Memory size551.1 KiB
2025-04-14T23:35:24.609399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length51
Mean length47.5
Min length20

Characters and Unicode

Total characters855
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)66.7%

Sample

1st row*31 Handwashing lavatory - used for other purpose
2nd row*45 Premises shall be maintained in good repair
3rd row*02 Cold Hold (41øF/45øF or below)
4th row*04 Fruits, vegetables or other plant based foods cooked to a minimum of 135øF for hot holding
5th row*47 Other Violations
ValueCountFrequency (%)
other 6
 
4.5%
5
 
3.7%
for 4
 
3.0%
47 4
 
3.0%
food 4
 
3.0%
violations 3
 
2.2%
used 2
 
1.5%
31 2
 
1.5%
lavatory 2
 
1.5%
20 2
 
1.5%
Other values (79) 100
74.6%
2025-04-14T23:35:24.984654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
13.7%
e 69
 
8.1%
o 67
 
7.8%
a 63
 
7.4%
t 54
 
6.3%
r 53
 
6.2%
s 41
 
4.8%
i 38
 
4.4%
n 32
 
3.7%
d 31
 
3.6%
Other values (50) 290
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 855
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
117
13.7%
e 69
 
8.1%
o 67
 
7.8%
a 63
 
7.4%
t 54
 
6.3%
r 53
 
6.2%
s 41
 
4.8%
i 38
 
4.4%
n 32
 
3.7%
d 31
 
3.6%
Other values (50) 290
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 855
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
117
13.7%
e 69
 
8.1%
o 67
 
7.8%
a 63
 
7.4%
t 54
 
6.3%
r 53
 
6.2%
s 41
 
4.8%
i 38
 
4.4%
n 32
 
3.7%
d 31
 
3.6%
Other values (50) 290
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 855
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
117
13.7%
e 69
 
8.1%
o 67
 
7.8%
a 63
 
7.4%
t 54
 
6.3%
r 53
 
6.2%
s 41
 
4.8%
i 38
 
4.4%
n 32
 
3.7%
d 31
 
3.6%
Other values (50) 290
33.9%

Violation Points - 21
Categorical

High correlation  Missing 

Distinct3
Distinct (%)16.7%
Missing17568
Missing (%)99.9%
Memory size1.1 MiB
1.0
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters54
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 8
 
< 0.1%
3.0 7
 
< 0.1%
2.0 3
 
< 0.1%
(Missing) 17568
99.9%

Length

2025-04-14T23:35:25.095068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:25.167051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 8
44.4%
3.0 7
38.9%
2.0 3
 
16.7%

Most occurring characters

ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 8
14.8%
3 7
 
13.0%
2 3
 
5.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 8
14.8%
3 7
 
13.0%
2 3
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 8
14.8%
3 7
 
13.0%
2 3
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 8
14.8%
3 7
 
13.0%
2 3
 
5.6%

Violation Detail - 21
Text

Missing 

Distinct14
Distinct (%)87.5%
Missing17570
Missing (%)99.9%
Memory size555.8 KiB
2025-04-14T23:35:25.486783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length475
Median length353.5
Mean length319.3125
Min length205

Characters and Unicode

Total characters5109
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)75.0%

Sample

1st row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
3rd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
4th row228.71 Food. Cooking. (c ) Plant food cooking for hot holding. Fruits and vegetables that are cooked for hot holding shall be cooked to a temperature of 57 degrees Celsius (135 degrees Fahrenheit).
5th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
ValueCountFrequency (%)
and 41
 
5.8%
food 29
 
4.1%
a 26
 
3.7%
the 19
 
2.7%
shall 16
 
2.3%
of 14
 
2.0%
for 12
 
1.7%
be 12
 
1.7%
by 10
 
1.4%
in 9
 
1.3%
Other values (257) 520
73.4%
2025-04-14T23:35:25.921438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1045
20.5%
e 431
 
8.4%
a 349
 
6.8%
i 281
 
5.5%
s 264
 
5.2%
o 260
 
5.1%
t 254
 
5.0%
n 251
 
4.9%
r 232
 
4.5%
d 182
 
3.6%
Other values (51) 1560
30.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5109
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1045
20.5%
e 431
 
8.4%
a 349
 
6.8%
i 281
 
5.5%
s 264
 
5.2%
o 260
 
5.1%
t 254
 
5.0%
n 251
 
4.9%
r 232
 
4.5%
d 182
 
3.6%
Other values (51) 1560
30.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5109
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1045
20.5%
e 431
 
8.4%
a 349
 
6.8%
i 281
 
5.5%
s 264
 
5.2%
o 260
 
5.1%
t 254
 
5.0%
n 251
 
4.9%
r 232
 
4.5%
d 182
 
3.6%
Other values (51) 1560
30.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5109
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1045
20.5%
e 431
 
8.4%
a 349
 
6.8%
i 281
 
5.5%
s 264
 
5.2%
o 260
 
5.1%
t 254
 
5.0%
n 251
 
4.9%
r 232
 
4.5%
d 182
 
3.6%
Other values (51) 1560
30.5%

Violation Memo - 21
Text

Missing 

Distinct18
Distinct (%)100.0%
Missing17568
Missing (%)99.9%
Memory size551.0 KiB
2025-04-14T23:35:26.211119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length44.5
Mean length47.222222
Min length18

Characters and Unicode

Total characters850
Distinct characters56
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st rowHAND SINK USED TO AS A PREP SINK
2nd rowrepair water heater, water damaged ceiling tile.
3rd rowcooler units must be maintain 40 F or below
4th rowDISCONTINUE PARTIALLY COOKING FOOD ITEMS POTATOES 69.1,69.5*F
5th rowMust have updated pest control
ValueCountFrequency (%)
hand 5
 
3.5%
must 5
 
3.5%
be 4
 
2.8%
food 4
 
2.8%
with 4
 
2.8%
in 4
 
2.8%
the 4
 
2.8%
contact 3
 
2.1%
to 3
 
2.1%
no 3
 
2.1%
Other values (92) 105
72.9%
2025-04-14T23:35:26.631723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
15.4%
e 65
 
7.6%
t 57
 
6.7%
a 45
 
5.3%
i 43
 
5.1%
o 42
 
4.9%
n 42
 
4.9%
r 38
 
4.5%
s 30
 
3.5%
c 25
 
2.9%
Other values (46) 332
39.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 850
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
131
 
15.4%
e 65
 
7.6%
t 57
 
6.7%
a 45
 
5.3%
i 43
 
5.1%
o 42
 
4.9%
n 42
 
4.9%
r 38
 
4.5%
s 30
 
3.5%
c 25
 
2.9%
Other values (46) 332
39.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 850
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
131
 
15.4%
e 65
 
7.6%
t 57
 
6.7%
a 45
 
5.3%
i 43
 
5.1%
o 42
 
4.9%
n 42
 
4.9%
r 38
 
4.5%
s 30
 
3.5%
c 25
 
2.9%
Other values (46) 332
39.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 850
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
131
 
15.4%
e 65
 
7.6%
t 57
 
6.7%
a 45
 
5.3%
i 43
 
5.1%
o 42
 
4.9%
n 42
 
4.9%
r 38
 
4.5%
s 30
 
3.5%
c 25
 
2.9%
Other values (46) 332
39.1%
Distinct9
Distinct (%)90.0%
Missing17576
Missing (%)99.9%
Memory size550.5 KiB
2025-04-14T23:35:26.854442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length57
Mean length53.3
Min length23

Characters and Unicode

Total characters533
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)80.0%

Sample

1st row*47 Conditions of Permit-in use of food equipment
2nd row*12 A food employee shall comply with an exclusion or RESTRICTION
3rd row*43 Clean vent syst:Intake/exhaust air ducts
4th row*32 Food-contact surfaces. smooth, non-absorbent and easily cleanable
5th row*47 Handwashing signage
ValueCountFrequency (%)
shall 4
 
4.9%
be 3
 
3.7%
of 3
 
3.7%
premises 2
 
2.5%
maintained 2
 
2.5%
45 2
 
2.5%
in 2
 
2.5%
good 2
 
2.5%
47 2
 
2.5%
repair 2
 
2.5%
Other values (52) 57
70.4%
2025-04-14T23:35:27.181797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
13.7%
e 46
 
8.6%
o 38
 
7.1%
s 37
 
6.9%
n 36
 
6.8%
a 31
 
5.8%
i 27
 
5.1%
t 26
 
4.9%
l 23
 
4.3%
r 21
 
3.9%
Other values (39) 175
32.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 533
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
73
13.7%
e 46
 
8.6%
o 38
 
7.1%
s 37
 
6.9%
n 36
 
6.8%
a 31
 
5.8%
i 27
 
5.1%
t 26
 
4.9%
l 23
 
4.3%
r 21
 
3.9%
Other values (39) 175
32.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 533
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
73
13.7%
e 46
 
8.6%
o 38
 
7.1%
s 37
 
6.9%
n 36
 
6.8%
a 31
 
5.8%
i 27
 
5.1%
t 26
 
4.9%
l 23
 
4.3%
r 21
 
3.9%
Other values (39) 175
32.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 533
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
73
13.7%
e 46
 
8.6%
o 38
 
7.1%
s 37
 
6.9%
n 36
 
6.8%
a 31
 
5.8%
i 27
 
5.1%
t 26
 
4.9%
l 23
 
4.3%
r 21
 
3.9%
Other values (39) 175
32.8%

Violation Points - 22
Categorical

High correlation  Missing 

Distinct3
Distinct (%)30.0%
Missing17576
Missing (%)99.9%
Memory size1.1 MiB
1.0
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)10.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 6
 
< 0.1%
2.0 3
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 17576
99.9%

Length

2025-04-14T23:35:27.287338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:27.350842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 6
60.0%
2.0 3
30.0%
3.0 1
 
10.0%

Most occurring characters

ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 6
20.0%
2 3
 
10.0%
3 1
 
3.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 6
20.0%
2 3
 
10.0%
3 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 6
20.0%
2 3
 
10.0%
3 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 6
20.0%
2 3
 
10.0%
3 1
 
3.3%

Violation Detail - 22
Text

Missing 

Distinct9
Distinct (%)90.0%
Missing17576
Missing (%)99.9%
Memory size553.8 KiB
2025-04-14T23:35:27.593454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length521
Median length342.5
Mean length316.2
Min length205

Characters and Unicode

Total characters3162
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)80.0%

Sample

1st row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
2nd row228.35 Management and Personnel. Responsibilities and Reporting Symptoms and Diagnosis. (f) A food employee shall: (2) comply with a restriction as specified in õ228.36(4)(B), (5)(B), (6)(B), (7), (8)(B), or õ228.36 (8), (9), or (10) and comply with the provisions specified in õ228.37(4) - (10) of this title.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
4th row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast (j) Food-contact surfaces. All food contact surfaces, counters, or work surfaces in the establishment shall be smooth, non-absorbent and easily cleanable.
5th row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
ValueCountFrequency (%)
and 24
 
5.7%
the 15
 
3.6%
a 14
 
3.3%
of 12
 
2.8%
shall 10
 
2.4%
in 10
 
2.4%
be 9
 
2.1%
physical 8
 
1.9%
facilities 8
 
1.9%
or 8
 
1.9%
Other values (188) 304
72.0%
2025-04-14T23:35:27.933757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
681
21.5%
e 228
 
7.2%
i 198
 
6.3%
s 196
 
6.2%
a 172
 
5.4%
t 169
 
5.3%
n 156
 
4.9%
o 148
 
4.7%
r 107
 
3.4%
l 104
 
3.3%
Other values (53) 1003
31.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
681
21.5%
e 228
 
7.2%
i 198
 
6.3%
s 196
 
6.2%
a 172
 
5.4%
t 169
 
5.3%
n 156
 
4.9%
o 148
 
4.7%
r 107
 
3.4%
l 104
 
3.3%
Other values (53) 1003
31.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
681
21.5%
e 228
 
7.2%
i 198
 
6.3%
s 196
 
6.2%
a 172
 
5.4%
t 169
 
5.3%
n 156
 
4.9%
o 148
 
4.7%
r 107
 
3.4%
l 104
 
3.3%
Other values (53) 1003
31.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
681
21.5%
e 228
 
7.2%
i 198
 
6.3%
s 196
 
6.2%
a 172
 
5.4%
t 169
 
5.3%
n 156
 
4.9%
o 148
 
4.7%
r 107
 
3.4%
l 104
 
3.3%
Other values (53) 1003
31.7%

Violation Memo - 22
Text

Missing 

Distinct10
Distinct (%)100.0%
Missing17576
Missing (%)99.9%
Memory size550.5 KiB
2025-04-14T23:35:28.161302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length173
Median length40
Mean length62.4
Min length21

Characters and Unicode

Total characters624
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowpost consumer health.
2nd rowmissing employee health policies and procedures
3rd rowMust clean air intake vent near restrooms
4th rowREMOVE ALL ABSORBENT MATERIALS ( BOXES)
5th rowmissing hand washing sign
ValueCountFrequency (%)
in 6
 
5.8%
hand 4
 
3.8%
missing 4
 
3.8%
tiles 3
 
2.9%
and 3
 
2.9%
washing 3
 
2.9%
ceiling 3
 
2.9%
must 3
 
2.9%
all 3
 
2.9%
sink 3
 
2.9%
Other values (55) 69
66.3%
2025-04-14T23:35:28.500418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
15.7%
e 53
 
8.5%
i 50
 
8.0%
n 47
 
7.5%
s 46
 
7.4%
a 36
 
5.8%
t 34
 
5.4%
r 32
 
5.1%
o 32
 
5.1%
l 30
 
4.8%
Other values (31) 166
26.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 624
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
98
15.7%
e 53
 
8.5%
i 50
 
8.0%
n 47
 
7.5%
s 46
 
7.4%
a 36
 
5.8%
t 34
 
5.4%
r 32
 
5.1%
o 32
 
5.1%
l 30
 
4.8%
Other values (31) 166
26.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 624
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
98
15.7%
e 53
 
8.5%
i 50
 
8.0%
n 47
 
7.5%
s 46
 
7.4%
a 36
 
5.8%
t 34
 
5.4%
r 32
 
5.1%
o 32
 
5.1%
l 30
 
4.8%
Other values (31) 166
26.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 624
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
98
15.7%
e 53
 
8.5%
i 50
 
8.0%
n 47
 
7.5%
s 46
 
7.4%
a 36
 
5.8%
t 34
 
5.4%
r 32
 
5.1%
o 32
 
5.1%
l 30
 
4.8%
Other values (31) 166
26.6%
Distinct5
Distinct (%)100.0%
Missing17581
Missing (%)> 99.9%
Memory size550.0 KiB
2025-04-14T23:35:28.767036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length49
Median length46
Mean length42
Min length20

Characters and Unicode

Total characters210
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row*10 Equipment and Utensils Cleaning-contamination
2nd row*22 Accredited food handler certificate - 60 days
3rd row*39 Cooking equipment free of encrusted grease
4th row*47 OTHER VIOLATIONS
5th row*19 Water & Plumbing in good repair- per code
ValueCountFrequency (%)
equipment 2
 
6.2%
2
 
6.2%
and 1
 
3.1%
utensils 1
 
3.1%
cleaning-contamination 1
 
3.1%
10 1
 
3.1%
22 1
 
3.1%
accredited 1
 
3.1%
handler 1
 
3.1%
food 1
 
3.1%
Other values (20) 20
62.5%
2025-04-14T23:35:29.157530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
13.3%
e 20
 
9.5%
n 14
 
6.7%
i 13
 
6.2%
t 10
 
4.8%
a 10
 
4.8%
r 10
 
4.8%
o 10
 
4.8%
d 9
 
4.3%
c 7
 
3.3%
Other values (38) 79
37.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 210
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
28
 
13.3%
e 20
 
9.5%
n 14
 
6.7%
i 13
 
6.2%
t 10
 
4.8%
a 10
 
4.8%
r 10
 
4.8%
o 10
 
4.8%
d 9
 
4.3%
c 7
 
3.3%
Other values (38) 79
37.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 210
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
28
 
13.3%
e 20
 
9.5%
n 14
 
6.7%
i 13
 
6.2%
t 10
 
4.8%
a 10
 
4.8%
r 10
 
4.8%
o 10
 
4.8%
d 9
 
4.3%
c 7
 
3.3%
Other values (38) 79
37.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 210
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
28
 
13.3%
e 20
 
9.5%
n 14
 
6.7%
i 13
 
6.2%
t 10
 
4.8%
a 10
 
4.8%
r 10
 
4.8%
o 10
 
4.8%
d 9
 
4.3%
c 7
 
3.3%
Other values (38) 79
37.6%

Violation Points - 23
Categorical

High correlation  Missing 

Distinct3
Distinct (%)60.0%
Missing17581
Missing (%)> 99.9%
Memory size1.1 MiB
3.0
1.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 2
 
< 0.1%
1.0 2
 
< 0.1%
2.0 1
 
< 0.1%
(Missing) 17581
> 99.9%

Length

2025-04-14T23:35:29.312037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:29.407140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 2
40.0%
1.0 2
40.0%
2.0 1
20.0%

Most occurring characters

ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
3 2
 
13.3%
1 2
 
13.3%
2 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
3 2
 
13.3%
1 2
 
13.3%
2 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
3 2
 
13.3%
1 2
 
13.3%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
3 2
 
13.3%
1 2
 
13.3%
2 1
 
6.7%

Violation Detail - 23
Text

Missing 

Distinct5
Distinct (%)100.0%
Missing17581
Missing (%)> 99.9%
Memory size551.5 KiB
2025-04-14T23:35:29.786209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length351
Median length292
Mean length289.4
Min length217

Characters and Unicode

Total characters1447
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
2nd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (2) The food-contact surfaces of cooking equipment and pans shall be kept free of encrusted grease deposits and other soil accumulations.
4th row229.164 Food. (b) Approved sources. (6) Exotic animals and game animals. (B) If game animals are received for sale or service they shall be: (i) commercially raised for food and: (I) raised, slaughtered, and processed under a voluntary inspection program that is conducted by the agency that has animal health jurisdiction.
5th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
ValueCountFrequency (%)
and 16
 
8.4%
food 8
 
4.2%
equipment 7
 
3.7%
utensils 6
 
3.1%
shall 5
 
2.6%
surfaces 5
 
2.6%
the 5
 
2.6%
of 5
 
2.6%
be 4
 
2.1%
food-contact 4
 
2.1%
Other values (102) 126
66.0%
2025-04-14T23:35:30.356143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
21.4%
e 115
 
7.9%
a 94
 
6.5%
n 93
 
6.4%
o 75
 
5.2%
t 71
 
4.9%
i 68
 
4.7%
s 65
 
4.5%
d 57
 
3.9%
r 52
 
3.6%
Other values (47) 447
30.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1447
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
310
21.4%
e 115
 
7.9%
a 94
 
6.5%
n 93
 
6.4%
o 75
 
5.2%
t 71
 
4.9%
i 68
 
4.7%
s 65
 
4.5%
d 57
 
3.9%
r 52
 
3.6%
Other values (47) 447
30.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1447
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
310
21.4%
e 115
 
7.9%
a 94
 
6.5%
n 93
 
6.4%
o 75
 
5.2%
t 71
 
4.9%
i 68
 
4.7%
s 65
 
4.5%
d 57
 
3.9%
r 52
 
3.6%
Other values (47) 447
30.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1447
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
310
21.4%
e 115
 
7.9%
a 94
 
6.5%
n 93
 
6.4%
o 75
 
5.2%
t 71
 
4.9%
i 68
 
4.7%
s 65
 
4.5%
d 57
 
3.9%
r 52
 
3.6%
Other values (47) 447
30.9%

Violation Memo - 23
Text

Missing 

Distinct5
Distinct (%)100.0%
Missing17581
Missing (%)> 99.9%
Memory size550.1 KiB
2025-04-14T23:35:30.662133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length103
Median length42
Mean length51.4
Min length32

Characters and Unicode

Total characters257
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowsanitize food surfaces during operational hours
2nd rowfood handler certificates expired
3rd rowcooking equipment dirty with soils and grease accumulations must be clean to avoid cross contamination
4th rowMissing hand wash signs at hand wash sinks
5th rowfix handsink in women's bathroom
ValueCountFrequency (%)
food 2
 
5.3%
hand 2
 
5.3%
wash 2
 
5.3%
surfaces 1
 
2.6%
sanitize 1
 
2.6%
during 1
 
2.6%
operational 1
 
2.6%
certificates 1
 
2.6%
expired 1
 
2.6%
hours 1
 
2.6%
Other values (25) 25
65.8%
2025-04-14T23:35:31.130781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
13.2%
i 23
 
8.9%
s 22
 
8.6%
a 21
 
8.2%
n 21
 
8.2%
o 19
 
7.4%
e 15
 
5.8%
t 14
 
5.4%
d 11
 
4.3%
r 11
 
4.3%
Other values (18) 66
25.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 257
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
34
13.2%
i 23
 
8.9%
s 22
 
8.6%
a 21
 
8.2%
n 21
 
8.2%
o 19
 
7.4%
e 15
 
5.8%
t 14
 
5.4%
d 11
 
4.3%
r 11
 
4.3%
Other values (18) 66
25.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 257
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
34
13.2%
i 23
 
8.9%
s 22
 
8.6%
a 21
 
8.2%
n 21
 
8.2%
o 19
 
7.4%
e 15
 
5.8%
t 14
 
5.4%
d 11
 
4.3%
r 11
 
4.3%
Other values (18) 66
25.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 257
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
34
13.2%
i 23
 
8.9%
s 22
 
8.6%
a 21
 
8.2%
n 21
 
8.2%
o 19
 
7.4%
e 15
 
5.8%
t 14
 
5.4%
d 11
 
4.3%
r 11
 
4.3%
Other values (18) 66
25.7%
Distinct2
Distinct (%)100.0%
Missing17584
Missing (%)> 99.9%
Memory size549.8 KiB
2025-04-14T23:35:31.364239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length59
Median length53.5
Mean length53.5
Min length48

Characters and Unicode

Total characters107
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row*46 Water, Plumbing, and Waste Plumbing Systems-good repair
2nd row*36 Cloths in-use for wiping between uses stored
ValueCountFrequency (%)
plumbing 2
 
12.5%
46 1
 
6.2%
water 1
 
6.2%
and 1
 
6.2%
waste 1
 
6.2%
systems-good 1
 
6.2%
repair 1
 
6.2%
36 1
 
6.2%
cloths 1
 
6.2%
in-use 1
 
6.2%
Other values (5) 5
31.2%
2025-04-14T23:35:32.326538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
13.1%
e 10
 
9.3%
s 8
 
7.5%
t 6
 
5.6%
i 6
 
5.6%
n 6
 
5.6%
o 5
 
4.7%
r 5
 
4.7%
u 4
 
3.7%
g 4
 
3.7%
Other values (20) 39
36.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 107
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14
 
13.1%
e 10
 
9.3%
s 8
 
7.5%
t 6
 
5.6%
i 6
 
5.6%
n 6
 
5.6%
o 5
 
4.7%
r 5
 
4.7%
u 4
 
3.7%
g 4
 
3.7%
Other values (20) 39
36.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 107
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14
 
13.1%
e 10
 
9.3%
s 8
 
7.5%
t 6
 
5.6%
i 6
 
5.6%
n 6
 
5.6%
o 5
 
4.7%
r 5
 
4.7%
u 4
 
3.7%
g 4
 
3.7%
Other values (20) 39
36.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 107
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14
 
13.1%
e 10
 
9.3%
s 8
 
7.5%
t 6
 
5.6%
i 6
 
5.6%
n 6
 
5.6%
o 5
 
4.7%
r 5
 
4.7%
u 4
 
3.7%
g 4
 
3.7%
Other values (20) 39
36.4%

Violation Points - 24
Categorical

Constant  Missing 

Distinct1
Distinct (%)50.0%
Missing17584
Missing (%)> 99.9%
Memory size1.1 MiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0

Common Values

ValueCountFrequency (%)
1.0 2
 
< 0.1%
(Missing) 17584
> 99.9%

Length

2025-04-14T23:35:32.424535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:32.476992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2
100.0%

Most occurring characters

ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 2
33.3%
. 2
33.3%
0 2
33.3%

Violation Detail - 24
Text

Missing 

Distinct2
Distinct (%)100.0%
Missing17584
Missing (%)> 99.9%
Memory size550.6 KiB
2025-04-14T23:35:32.650371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length340
Median length269
Mean length269
Min length198

Characters and Unicode

Total characters538
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (2) maintained in good repair.
2nd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
ValueCountFrequency (%)
and 5
 
7.1%
in 4
 
5.7%
a 4
 
5.7%
plumbing 3
 
4.3%
system 2
 
2.9%
maintained 2
 
2.9%
repair 2
 
2.9%
good 2
 
2.9%
shall 2
 
2.9%
be 2
 
2.9%
Other values (38) 42
60.0%
2025-04-14T23:35:32.971121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
24.5%
n 42
 
7.8%
i 39
 
7.2%
e 37
 
6.9%
t 29
 
5.4%
a 28
 
5.2%
s 22
 
4.1%
o 22
 
4.1%
l 15
 
2.8%
r 14
 
2.6%
Other values (37) 158
29.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 538
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
132
24.5%
n 42
 
7.8%
i 39
 
7.2%
e 37
 
6.9%
t 29
 
5.4%
a 28
 
5.2%
s 22
 
4.1%
o 22
 
4.1%
l 15
 
2.8%
r 14
 
2.6%
Other values (37) 158
29.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 538
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
132
24.5%
n 42
 
7.8%
i 39
 
7.2%
e 37
 
6.9%
t 29
 
5.4%
a 28
 
5.2%
s 22
 
4.1%
o 22
 
4.1%
l 15
 
2.8%
r 14
 
2.6%
Other values (37) 158
29.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 538
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
132
24.5%
n 42
 
7.8%
i 39
 
7.2%
e 37
 
6.9%
t 29
 
5.4%
a 28
 
5.2%
s 22
 
4.1%
o 22
 
4.1%
l 15
 
2.8%
r 14
 
2.6%
Other values (37) 158
29.4%

Violation Memo - 24
Text

Missing 

Distinct2
Distinct (%)100.0%
Missing17584
Missing (%)> 99.9%
Memory size549.9 KiB
2025-04-14T23:35:33.131809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length91
Median length67.5
Mean length67.5
Min length44

Characters and Unicode

Total characters135
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowwater faucets detach from sinks in all areas must be replace or repair to proper condition
2nd rowStore wet wiping cloth in sanitizer solution
ValueCountFrequency (%)
in 2
 
8.7%
water 1
 
4.3%
faucets 1
 
4.3%
detach 1
 
4.3%
from 1
 
4.3%
sinks 1
 
4.3%
all 1
 
4.3%
areas 1
 
4.3%
must 1
 
4.3%
be 1
 
4.3%
Other values (12) 12
52.2%
2025-04-14T23:35:33.374475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
16.3%
e 12
8.9%
t 11
 
8.1%
r 11
 
8.1%
i 11
 
8.1%
o 10
 
7.4%
a 9
 
6.7%
n 8
 
5.9%
s 7
 
5.2%
l 5
 
3.7%
Other values (13) 29
21.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 135
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
22
16.3%
e 12
8.9%
t 11
 
8.1%
r 11
 
8.1%
i 11
 
8.1%
o 10
 
7.4%
a 9
 
6.7%
n 8
 
5.9%
s 7
 
5.2%
l 5
 
3.7%
Other values (13) 29
21.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 135
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
22
16.3%
e 12
8.9%
t 11
 
8.1%
r 11
 
8.1%
i 11
 
8.1%
o 10
 
7.4%
a 9
 
6.7%
n 8
 
5.9%
s 7
 
5.2%
l 5
 
3.7%
Other values (13) 29
21.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 135
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
22
16.3%
e 12
8.9%
t 11
 
8.1%
r 11
 
8.1%
i 11
 
8.1%
o 10
 
7.4%
a 9
 
6.7%
n 8
 
5.9%
s 7
 
5.2%
l 5
 
3.7%
Other values (13) 29
21.5%

Violation Description - 25
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17585
Missing (%)> 99.9%
Memory size549.7 KiB
2025-04-14T23:35:33.515598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length34
Median length34
Mean length34
Min length34

Characters and Unicode

Total characters34
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
42 1
20.0%
dirty 1
20.0%
nonfood 1
20.0%
contact 1
20.0%
surfaces 1
20.0%
2025-04-14T23:35:33.751701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Violation Points - 25
Categorical

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17585
Missing (%)> 99.9%
Memory size1.1 MiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1.0

Common Values

ValueCountFrequency (%)
1.0 1
 
< 0.1%
(Missing) 17585
> 99.9%

Length

2025-04-14T23:35:33.847929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:33.901654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 25
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17585
Missing (%)> 99.9%
Memory size549.9 KiB
2025-04-14T23:35:34.023485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length222
Median length222
Mean length222
Min length222

Characters and Unicode

Total characters222
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
of 4
 
13.3%
equipment 3
 
10.0%
and 3
 
10.0%
utensils 2
 
6.7%
linens 1
 
3.3%
228.113 1
 
3.3%
cleaning 1
 
3.3%
3 1
 
3.3%
nonfood-contact 1
 
3.3%
surfaces 1
 
3.3%
Other values (12) 12
40.0%
2025-04-14T23:35:34.272461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Violation Memo - 25
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17585
Missing (%)> 99.9%
Memory size549.9 KiB
2025-04-14T23:35:34.435265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length171
Median length171
Mean length171
Min length171

Characters and Unicode

Total characters171
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowDirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor.
ValueCountFrequency (%)
dirty 2
 
7.1%
on 2
 
7.1%
and 2
 
7.1%
vents 2
 
7.1%
food 2
 
7.1%
fans 1
 
3.6%
dust 1
 
3.6%
above 1
 
3.6%
prep 1
 
3.6%
areas 1
 
3.6%
Other values (13) 13
46.4%
2025-04-14T23:35:34.692600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%

Inspection Month
Categorical

High correlation 

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
Apr 2021
 
1064
Mar 2022
 
1018
Mar 2021
 
947
Dec 2022
 
895
Nov 2021
 
836
Other values (19)
12826 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters140688
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowApr 2021
2nd rowApr 2021
3rd rowNov 2021
4th rowApr 2021
5th rowNov 2022

Common Values

ValueCountFrequency (%)
Apr 2021 1064
 
6.1%
Mar 2022 1018
 
5.8%
Mar 2021 947
 
5.4%
Dec 2022 895
 
5.1%
Nov 2021 836
 
4.8%
Dec 2021 814
 
4.6%
Nov 2022 807
 
4.6%
Aug 2021 806
 
4.6%
Jul 2021 759
 
4.3%
Jan 2021 758
 
4.3%
Other values (14) 8882
50.5%

Length

2025-04-14T23:35:34.808807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021 9305
26.5%
2022 8281
23.5%
mar 1965
 
5.6%
apr 1735
 
4.9%
dec 1709
 
4.9%
nov 1643
 
4.7%
aug 1552
 
4.4%
sep 1417
 
4.0%
jan 1399
 
4.0%
oct 1353
 
3.8%
Other values (4) 4813
13.7%

Most occurring characters

ValueCountFrequency (%)
2 43453
30.9%
17586
12.5%
0 17586
12.5%
1 9305
 
6.6%
a 4648
 
3.3%
e 4200
 
3.0%
u 4007
 
2.8%
J 3854
 
2.7%
r 3700
 
2.6%
A 3287
 
2.3%
Other values (16) 29062
20.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140688
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 43453
30.9%
17586
12.5%
0 17586
12.5%
1 9305
 
6.6%
a 4648
 
3.3%
e 4200
 
3.0%
u 4007
 
2.8%
J 3854
 
2.7%
r 3700
 
2.6%
A 3287
 
2.3%
Other values (16) 29062
20.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140688
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 43453
30.9%
17586
12.5%
0 17586
12.5%
1 9305
 
6.6%
a 4648
 
3.3%
e 4200
 
3.0%
u 4007
 
2.8%
J 3854
 
2.7%
r 3700
 
2.6%
A 3287
 
2.3%
Other values (16) 29062
20.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140688
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 43453
30.9%
17586
12.5%
0 17586
12.5%
1 9305
 
6.6%
a 4648
 
3.3%
e 4200
 
3.0%
u 4007
 
2.8%
J 3854
 
2.7%
r 3700
 
2.6%
A 3287
 
2.3%
Other values (16) 29062
20.7%

Inspection Year
Categorical

High correlation 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
FY2022
8246 
FY2021
6970 
FY2023
2370 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters105516
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFY2021
2nd rowFY2021
3rd rowFY2022
4th rowFY2021
5th rowFY2023

Common Values

ValueCountFrequency (%)
FY2022 8246
46.9%
FY2021 6970
39.6%
FY2023 2370
 
13.5%

Length

2025-04-14T23:35:34.903923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:35:34.978876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
fy2022 8246
46.9%
fy2021 6970
39.6%
fy2023 2370
 
13.5%

Most occurring characters

ValueCountFrequency (%)
2 43418
41.1%
F 17586
16.7%
Y 17586
16.7%
0 17586
16.7%
1 6970
 
6.6%
3 2370
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 105516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 43418
41.1%
F 17586
16.7%
Y 17586
16.7%
0 17586
16.7%
1 6970
 
6.6%
3 2370
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 105516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 43418
41.1%
F 17586
16.7%
Y 17586
16.7%
0 17586
16.7%
1 6970
 
6.6%
3 2370
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 105516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 43418
41.1%
F 17586
16.7%
Y 17586
16.7%
0 17586
16.7%
1 6970
 
6.6%
3 2370
 
2.2%
Distinct10066
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
2025-04-14T23:35:35.322562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length66
Median length55
Mean length41.568691
Min length11

Characters and Unicode

Total characters731027
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6053 ?
Unique (%)34.4%

Sample

1st row5555 S BUCKNER BLVD (32.793368, -96.685021)
2nd row8687 N CENTRAL EXPW #3000 (32.869358, -96.770707)
3rd row2900 W WHEATLAND RD (32.647455, -96.866883)
4th row1441 N BECKLEY AVE (32.616966, -96.823427)
5th row4800 ROSS AVE (32.80545, -96.77601)
ValueCountFrequency (%)
rd 4350
 
4.2%
ave 3144
 
3.1%
st 2685
 
2.6%
ln 1848
 
1.8%
w 1784
 
1.7%
blvd 1689
 
1.6%
n 1669
 
1.6%
s 1567
 
1.5%
dr 1205
 
1.2%
e 847
 
0.8%
Other values (19210) 82051
79.8%
2025-04-14T23:35:35.854172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68316
 
9.3%
2 42819
 
5.9%
3 41509
 
5.7%
9 40999
 
5.6%
6 39481
 
5.4%
8 36491
 
5.0%
1 35463
 
4.9%
. 33921
 
4.6%
7 32776
 
4.5%
0 32102
 
4.4%
Other values (37) 327150
44.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 731027
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
68316
 
9.3%
2 42819
 
5.9%
3 41509
 
5.7%
9 40999
 
5.6%
6 39481
 
5.4%
8 36491
 
5.0%
1 35463
 
4.9%
. 33921
 
4.6%
7 32776
 
4.5%
0 32102
 
4.4%
Other values (37) 327150
44.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 731027
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
68316
 
9.3%
2 42819
 
5.9%
3 41509
 
5.7%
9 40999
 
5.6%
6 39481
 
5.4%
8 36491
 
5.0%
1 35463
 
4.9%
. 33921
 
4.6%
7 32776
 
4.5%
0 32102
 
4.4%
Other values (37) 327150
44.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 731027
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
68316
 
9.3%
2 42819
 
5.9%
3 41509
 
5.7%
9 40999
 
5.6%
6 39481
 
5.4%
8 36491
 
5.0%
1 35463
 
4.9%
. 33921
 
4.6%
7 32776
 
4.5%
0 32102
 
4.4%
Other values (37) 327150
44.8%

Interactions

2025-04-14T23:34:13.741503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:34:13.406643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:34:13.915264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:34:13.567086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-14T23:35:35.985048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Inspection MonthInspection ScoreInspection TypeInspection YearStreet DirectionStreet NumberStreet TypeViolation Points - 1Violation Points - 10Violation Points - 11Violation Points - 12Violation Points - 13Violation Points - 14Violation Points - 15Violation Points - 16Violation Points - 17Violation Points - 18Violation Points - 19Violation Points - 2Violation Points - 20Violation Points - 21Violation Points - 22Violation Points - 23Violation Points - 3Violation Points - 4Violation Points - 5Violation Points - 6Violation Points - 7Violation Points - 8Violation Points - 9
Inspection Month1.0000.0470.0390.9990.1030.0620.0560.0730.0000.0000.0000.0450.1330.0770.1580.1400.0000.4060.0390.0000.3600.0001.0000.0460.0490.0450.0610.0310.0320.025
Inspection Score0.0471.0000.0910.0280.0680.0450.0560.1040.1090.0910.0890.0000.0000.0000.0410.0000.0320.0000.1510.0000.3930.4010.0000.1810.2100.1430.1680.1320.1170.078
Inspection Type0.0390.0911.0000.0290.0000.0120.0150.0180.0510.0140.0700.0000.0000.0000.0000.1900.0540.0000.0120.0000.2890.2041.0000.0000.0190.0000.0000.0270.0120.040
Inspection Year0.9990.0280.0291.0000.0420.0320.0280.0300.0000.0000.0230.0000.0320.0000.0480.1180.0000.2500.0000.0000.0000.0000.0000.0130.0270.0260.0230.0000.0000.000
Street Direction0.1030.0680.0000.0421.0000.2680.4480.0880.0000.0430.0800.0390.0000.0000.0000.1570.2310.0000.0540.0000.4411.0000.0000.0450.0500.0560.0000.0000.0000.033
Street Number0.0620.0450.0120.0320.2681.0000.2550.0580.0180.0470.0000.0000.0210.0000.0820.1140.0810.0000.0150.1590.2920.0000.3330.0230.0330.0300.0240.0000.0000.027
Street Type0.0560.0560.0150.0280.4480.2551.0000.0760.0560.0410.0890.0630.0950.0480.0000.0850.0640.0000.0370.0000.0000.6210.8160.0440.0780.0510.0780.0570.0530.037
Violation Points - 10.0730.1040.0180.0300.0880.0580.0761.0000.1430.1460.1690.1660.1660.1680.2200.2880.1460.1910.1710.0530.5900.2500.0000.0880.0930.1030.1300.1370.1520.149
Violation Points - 100.0000.1090.0510.0000.0000.0180.0560.1431.0000.1040.0600.0910.1130.0000.0880.0880.0310.3210.1310.3040.2540.0000.0000.1070.1270.1270.0950.0440.0510.091
Violation Points - 110.0000.0910.0140.0000.0430.0470.0410.1460.1041.0000.1050.1080.1020.0000.0000.0000.0000.1180.1590.0000.0000.0000.5770.1260.1450.1210.1060.0550.0390.099
Violation Points - 120.0000.0890.0700.0230.0800.0000.0890.1690.0600.1051.0000.1990.0910.1140.1140.1700.0000.1900.1770.2550.0000.0000.0000.1350.0900.0810.1490.0750.0720.000
Violation Points - 130.0450.0000.0000.0000.0390.0000.0630.1660.0910.1080.1991.0000.1130.0860.0980.0320.0000.0000.1310.3810.2520.0000.3330.1870.1140.1210.1160.1200.1490.066
Violation Points - 140.1330.0000.0000.0320.0000.0210.0950.1660.1130.1020.0910.1131.0000.0970.0000.0960.0000.0000.2250.0770.1890.2800.0000.2610.0270.1690.1360.1770.1140.095
Violation Points - 150.0770.0000.0000.0000.0000.0000.0480.1680.0000.0000.1140.0860.0971.0000.2090.0290.0920.0000.2030.0000.0000.1340.3330.2050.1530.1330.1280.1810.1680.109
Violation Points - 160.1580.0410.0000.0480.0000.0820.0000.2200.0880.0000.1140.0980.0000.2091.0000.1040.0000.0000.0710.3350.0000.0000.0000.2150.0000.1570.1230.1200.1870.153
Violation Points - 170.1400.0000.1900.1180.1570.1140.0850.2880.0880.0000.1700.0320.0960.0290.1041.0000.2860.0000.1180.2020.2870.2990.0000.1170.1440.0000.1560.0000.0870.109
Violation Points - 180.0000.0320.0540.0000.2310.0810.0640.1460.0310.0000.0000.0000.0000.0920.0000.2861.0000.1990.1500.0830.3830.1340.0000.0680.0000.0000.0980.0000.1310.291
Violation Points - 190.4060.0000.0000.2500.0000.0000.0000.1910.3210.1180.1900.0000.0000.0000.0000.0000.1991.0000.1650.4090.1440.1340.0000.2280.0310.0000.2200.3610.0000.148
Violation Points - 20.0390.1510.0120.0000.0540.0150.0370.1710.1310.1590.1770.1310.2250.2030.0710.1180.1500.1651.0000.0000.3780.5980.3330.1330.1140.0860.0990.1150.1190.149
Violation Points - 200.0000.0000.0000.0000.0000.1590.0000.0530.3040.0000.2550.3810.0770.0000.3350.2020.0830.4090.0001.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.000
Violation Points - 210.3600.3930.2890.0000.4410.2920.0000.5900.2540.0000.0000.2520.1890.0000.0000.2870.3830.1440.3780.0001.0000.5180.5000.4050.4260.3440.5240.0810.3480.510
Violation Points - 220.0000.4010.2040.0001.0000.0000.6210.2500.0000.0000.0000.0000.2800.1340.0000.2990.1340.1340.5980.0000.5181.0000.0000.6320.3780.5000.4150.7840.5000.000
Violation Points - 231.0000.0001.0000.0000.0000.3330.8160.0000.0000.5770.0000.3330.0000.3330.0000.0000.0000.0000.3331.0000.5000.0001.0000.0000.5770.0000.0000.0000.5000.500
Violation Points - 30.0460.1810.0000.0130.0450.0230.0440.0880.1070.1260.1350.1870.2610.2050.2150.1170.0680.2280.1330.0000.4050.6320.0001.0000.1540.0730.1080.1070.1110.100
Violation Points - 40.0490.2100.0190.0270.0500.0330.0780.0930.1270.1450.0900.1140.0270.1530.0000.1440.0000.0310.1140.0000.4260.3780.5770.1541.0000.1470.0890.0880.1110.147
Violation Points - 50.0450.1430.0000.0260.0560.0300.0510.1030.1270.1210.0810.1210.1690.1330.1570.0000.0000.0000.0860.0000.3440.5000.0000.0730.1471.0000.1330.0690.0930.101
Violation Points - 60.0610.1680.0000.0230.0000.0240.0780.1300.0950.1060.1490.1160.1360.1280.1230.1560.0980.2200.0990.0000.5240.4150.0000.1080.0890.1331.0000.1270.0730.049
Violation Points - 70.0310.1320.0270.0000.0000.0000.0570.1370.0440.0550.0750.1200.1770.1810.1200.0000.0000.3610.1150.0000.0810.7840.0000.1070.0880.0690.1271.0000.1170.078
Violation Points - 80.0320.1170.0120.0000.0000.0000.0530.1520.0510.0390.0720.1490.1140.1680.1870.0870.1310.0000.1190.0000.3480.5000.5000.1110.1110.0930.0730.1171.0000.103
Violation Points - 90.0250.0780.0400.0000.0330.0270.0370.1490.0910.0990.0000.0660.0950.1090.1530.1090.2910.1480.1490.0000.5100.0000.5000.1000.1470.1010.0490.0780.1031.000

Missing values

2025-04-14T23:34:14.601279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-14T23:34:15.836259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-04-14T23:34:19.528998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
0SAMS CLUB #6482 - DEMO ROOMRoutine2021-04-051005555BUCKNERSBLVDNaN5555 S BUCKNER BLVD75227NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20215555 S BUCKNER BLVD\n(32.793368, -96.685021)
1AMC THEATRES NORTHPARK 15 (BAR)Routine2021-04-091008687CENTRALNEXPW#30008687 N CENTRAL EXPW #300075225NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20218687 N CENTRAL EXPW #3000\n(32.869358, -96.770707)
2SAM'S CLUB #8282 - DEMO ROOMRoutine2021-11-141002900WHEATLANDWRDNaN2900 W WHEATLAND RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY20222900 W WHEATLAND RD\n(32.647455, -96.866883)
3AFC SUSHIRoutine2021-04-12981441BECKLEYNAVENaN1441 N BECKLEY AVE75208*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o2.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.low concentration at sanitizer bucket with100 ppm must be maintain at: 200- 400 ppm Quat concentrationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20211441 N BECKLEY AVE\n(32.616966, -96.823427)
4FANNIN INNOVATION DESIGNRoutine2022-11-07964800ROSSNaNAVENaN4800 ROSS AVE75204*07 Food safe, good condition, unadulterated, and honestly presented3.0228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.Remove dented cans*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Replace lights under vent hoodNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2022FY20234800 ROSS AVE\n(32.80545, -96.77601)
5WINE PRESS/DOG FISHHEADRoutine2022-04-201002500VICTORYNaNAVE#50152500 VICTORY AVE PLTM #501575201NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2022FY20222500 VICTORY AVE PLTM #5015
6TRINITY CIDERRoutine2021-07-01982656MAINNaNST#1202656 MAIN ST #12075226*31 No soap at handsink2.0228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2021FY20212656 MAIN ST #120\n(33.662542, -81.184438)
7MCDONALDSRoutine2022-07-14992747FORT WORTHNaNAVENaN2747 FORT WORTH AVE75211*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Clean handles of machinery and spillsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20222747 FORT WORTH AVE\n(32.757716, -96.865794)
8MCDONALD'SRoutine2022-01-191002551GUS THOMASSONNaNRDNaN2551 GUS THOMASSON RD75228NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2022FY20222551 GUS THOMASSON RD\n(32.834876, -96.671466)
9HOTEL ZAZA BANQUET KITCHENRoutine2021-09-13992332LEONARDNaNSTNaN2332 LEONARD ST75201*47 Other Violations1.0NaNMissing hand wash signs in banquet restroomsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2021FY20212332 LEONARD ST\n(32.794079, -96.801631)
Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
17576FREENEY'S BBQRoutine2021-10-22877822GREAT TRINITY FOREST WAYNaNNaNNaN7822 GREAT TRINITY FOREST WAY75217*03 Food products not maintained at 135øF or above3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);cooked rice: 126.0 F*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.CLEAN THE INTERIOR SURFACES OF THE MICROWAVE*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.EXPIRED CITY OF DALLAS REGISTERED FOOD SERVICE MANAGER ON SITE*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.PROVIDE A FOOD HANDLER CERTIFICATE FOR THE ADDITIONAL COOK*28 Date marking commercially prepared RTE/ TCS food2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andDATE MARK COOKED FOOD ITEMS ( WALK IN COOLER )*45 Walls and ceilings, studs, joists, and rafters1.0228.173 Physical Facilities. Floors, walls, and ceilings. (h) Walls and ceilings, studs, joists, and rafters. Except for temporary food establishments, studs, joists, and rafters may not be exposed in areas subject to moisture.DAMAGED CEILING TILES DUE TO MOISTURENaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNOct 2021FY20227822 GREAT TRINITY FOREST WAY\n(32.711757013, -96.687638032)
17577UPSTAIRS CIRCUSRoutine2021-04-25912810MAINNaNSTNaN2810 MAIN ST75226*18 Toxic items labeling for original container3.0228.201 Poisonous or Toxic Materials. Original containers, identifying information, prominence. Containers of poisonous or toxic materials and personal care items shall bear a legible manufacturer's label.Label all chemical spray bottles*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.Provide chemical test strips*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.No RFSM on site*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.All food staff must be trained in food safetyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20212810 MAIN ST
17578FREENEY'S BBQRoutine2021-03-01877822GREAT TRINITY FOREST WAYNaNNaNNaN7822 GREAT TRINITY FOREST WAY75217*03 Food products not maintained at 135øF or above3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);COOKED CORN: 132.6 F ( SERVING LINE )*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.EXPIRED CITY OF DALLAS REGISTERED FOOD SERVICE MANAGER CERTIFICATE*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.NO LIQUID WASTE MANIFESTS ( FOR SERVICE WITHIN THE LAST 90 DAYS ) LAST DATE OF SERVICE WAS 10/ 15/ 2020*32 Damaged Equipment2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;BROKEN REACH IN COOLER DOOR GASKETS*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.MISSING CEILING TILES ( DINING ROOM AND DRY STORAGE ) DAMAGED FLOORING ( DRY STORAGE AREA )*46 Physical Facilities Premises1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (h) Cleaning of Plumbing Fixtures. Plumbing fixtures such as handwashing sinks, toilets, and urinals shall be cleaned as often as necessary to keep them clean.CLEAN THE INTERIOR TOILET BOWLS OF THE MENS AND WOMENS RESTROOMS*46 Covered waste receptacle for women's restroom1.0228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins.COVERED TRASH CAN ( WOMEN'S RESTROOM )NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2021FY20217822 GREAT TRINITY FOREST WAY\n(32.711757013, -96.687638032)
17579TACOS LA BANQUETA PURO D.FRoutine2022-05-24927233GASTONNaNAVE#A7233 GASTON AVE #A75214*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.MEAT STORE ON FLOOR IN WIC*24 Food Labeling- with common name of the food2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;FOOD NOT LABLE WITH COMMON NAME*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.DIRTY Interior OF ICE MACHINE*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andNO DATE ON FOOD STORE IN WICNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMay 2022FY20227233 GASTON AVE #A
17580TACOS LA BANQUETA PURO D.FRoutine2021-11-15927233GASTONNaNAVE#A7233 GASTON AVE #A75214*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.BUILD UP INSIDE ICE MACHINE*45 Drying Mops-air dry1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.ARRANGE MOP STUFF IN LOCATION THAT IS SAFE FOR IT TO AIR DRY*45 Lockers to be used to store personal items1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (j) Using dressing rooms and lockers. (2) Lockers or other suitable facilities shall be used for the orderly storage of employee clothing and other possessions.DRESS AND BAGS SHOULD BE STORE IN LOVKER NOT ON DRINKS*22 Nail polish, fake nails, criteria2.0228.39 Management and Personnel. Fingernail maintenance (b) Unless wearing intact gloves in good repair, a food employee may not wear fingernail polish or artificial fingernails when working with exposed food.EMPLOYEES WITH FAKE NAILS*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.DRINKS STORE ON THE FLOORNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY20227233 GASTON AVE #A
17581TACOS LA BANQUETA PURO D.FRoutine2022-12-16947233GASTONNaNAVE#A7233 GASTON AVE #A75214*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.NO MUST RECENT GREASE TRAP*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.PERSON IN CHARGE WITH NO CERTIFICATE*47 OTHER VIOLATIONS1.0229.164 Food. (b) Approved sources. (6) Exotic animals and game animals. (B) If game animals are received for sale or service they shall be: (i) commercially raised for food and: (I) raised, slaughtered, and processed under a voluntary inspection program that is conducted by the agency that has animal health jurisdiction.NO SIGN TO LET CUSTOMERS REQUEST FOR INSPECTION REPORTNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2022FY20237233 GASTON AVE #A
17582FREENEY'S BBQRoutine2022-12-20937822GREAT TRINITY FOREST WAYNaNNaNNaN7822 GREAT TRINITY FOREST WAY75217*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andNaN*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaN*34 Controlling pests. Eliminating harborage conditions1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (4) eliminating harborage conditions.NaN*38 Thawing. under running water criteria - < 4 hours1.0228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (D) for a period of time that does not allow thawed portions of a raw animal food requiring cooking as specified in õ228.71(a)(1) or (2) of this title to be above 5 degrees Celsius (41 degrees Fahrenheit) for more than four hours includingNaN*39 Cutting surfaces.1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (b) Cutting surfaces. Surfaces such as cutting blocks and boards that are subject to scratching and scoring shall be resurfaced if they can no longer be effectively cleaned and sanitized, or discarded if they are not capable of being resurfaced.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2022FY20237822 GREAT TRINITY FOREST WAY\n(32.711757013, -96.687638032)
17583PASTELERIA UNIVERSORoutine2021-03-30929632OVERLAKENaNDRNaN9632 OVERLAKE DR75220*18 Restricted use pesticides3.0228.208 Poisonous or Toxic Materials. Pesticides. (a) Restricted use pesticides, criteria. Restricted use pesticides as specified in õ228.204(b)(3) of this title shall meet the requirements specified in 40 CFR 152 Subpart l, Classification of Pesticides.Raid is not approved pesticide for food service establishment*18 Toxic items storage adjacent to food/utensils3.0228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (1) separating the poisonous or toxic materials by spacing or partitioning; andObserved chemicals next to foods*37 Preventing contamination from other sources. Miscellaneous sources of Contamination1.0228.70 Food. Preventing contamination by consumers. (e) Preventing contamination from other sources. Miscellaneous sources of Contamination. Food shall be protected from contamination that may result from a factor or source not specified in õõ228.65 - 228.70 of this title.Observed personal food next to and on top of food for service*34 Pest control-routine inspections for1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;Provide pest control records and maintain a pest control planNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2021FY20219632 OVERLAKE DR
17584PASTELERIA UNIVERSORoutine2022-03-11899632OVERLAKENaNDRNaN9632 OVERLAKE DR75220*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Observed dirty can opener blade.*18 Toxic items stored above food/utensils3.0228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (2) locating the poisonous or toxic materials in an area that is not above food, equipment, utensils, linens, and single-service or single-use articles. This paragraph does not apply to equipment and utensil cleaners and sanitizers that are stored in warewashing areas for availability and convenience if the materials are stored to prevent contamination of food, equipment, utensils, linens, and single-service and single-use articles.Observed stainless steel cleaner on prep table.*34 Pest Control1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (1) Routinely inspecting incoming shipments of food and supplies;Pest control records not available.*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Observed dirty shelves.*45 Lockers to be used to store personal items1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (j) Using dressing rooms and lockers. (2) Lockers or other suitable facilities shall be used for the orderly storage of employee clothing and other possessions.Observed personal items stored near food items.*46 Enclosed toilet room w/self closing doors1.0228.174 Physical Facilities. Functionality. (d) A toilet room located on the premises shall be completely enclosed and provided with a tight-fitting and self-closing door except that this requirement does not apply to a toilet room that is located outside a food establishment and does not open directly into the food establishment such as a toilet room that is provided by the management of a shopping mall.Observed restroom door does not close automatically.*47 Handwashing signage1.0228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.Need handwash sign at handwash sink.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2022FY20229632 OVERLAKE DR
17585LA MICHOACANA MEAT MARKET (GROCERY)Routine2021-01-07812420FITZHUGHNAVENaN2420 N FITZHUGH AVE75204*42 Floors/walls/ceiling/nonfood dirty1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.CLEAN FAN VENT COVERS*44 Trash cans and designated storage areas1.0228.185 Physical Facilities. Receptacles, waste handling units, and designated storage areas. Units, receptacles, and areas designated for storage of refuse and recyclable and returnable containers shall be located as specified in õ228.152(j) of this title.PROVIDE TRASH CAN AT HAND SINKS*03 Food products not maintained at 135øF or above3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);PORK 107.1*09 Food protected cross contamination separating types of raw animal food storage, preparation, hol3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (i) using separate equipment for each type; orCROSS CONTAMINATION R. EGGS STORED WITH RTE FOOD ( CHEESE )*39 Cutting surfaces.1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (b) Cutting surfaces. Surfaces such as cutting blocks and boards that are subject to scratching and scoring shall be resurfaced if they can no longer be effectively cleaned and sanitized, or discarded if they are not capable of being resurfaced.RESURFACE CUTTING BOARDS*22 <<< RFSM / KNOWLEDGE / FOOD HANDLER >>>2.0NaNCERTIFY ALL STAFF*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.FOOD STORED ON FLOOR OF WIC*02 Cold Hold (41øF/45øF or below)3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;NaN*35 Eating food, chewing gum, drinking beverages, or using tobacco1.0228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.PERSONAL FOOD STORED WITH CUSTOMER'S FOOD*47 Handwashing signage1.0228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.PROVIDE HAND WASHING SIGNS AT ALL HAND SINKS*32 Damaged Equipment2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;REPAIR DAMAGE GLASS ON HOT HOLDNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2021FY20212420 N FITZHUGH AVE

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Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location# duplicates
0CANTEEN @ AMAZON IAH1-LARGE REMOTE BREAKROOMRoutine2022-07-151009155SOUTHLINKNaNDRNaN9155 SOUTHLINK DR75241NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20229155 SOUTHLINK DR\n(32.63708, -96.7475)2
1CC YOUNG (LEVEL 5 CAFE)Routine2022-09-061004849LAWTHERWDRNaN4849 W LAWTHER DR75214NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2022FY20224849 W LAWTHER DR\n(32.85442, -96.730528)2
2CENTERPLATE PERCOLATOR CART #17Routine2021-11-15100650GRIFFINSSTNaN650 S GRIFFIN ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY2022650 S GRIFFIN ST\n(32.772703, -96.799217)2
3CONCOURSE SHOPSRoutine2021-05-07100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMay 2021FY2021208 S AKARD ST\n(32.779797, -96.799295)2
4CONCOURSE SHOPSRoutine2021-12-21100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2021FY2022208 S AKARD ST\n(32.779605, -96.799243)2
5CONCOURSE SHOPSRoutine2022-08-09100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2022FY2022208 S AKARD ST\n(32.779605, -96.799243)2
6DISD MARIA LUNA PHASE 1Routine2021-12-16991515GRANDNaNAVENaN1515 GRAND AVE75215*43 Clean vent syst:Intake/exhaust air ducts1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2021FY20221515 GRAND AVE\n(32.486494, -100.391275)2
7JFE SUSHIRoutine2021-07-261004901MAPLENaNAVENaN4901 MAPLE AVE75235NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2021FY20214901 MAPLE AVE\n(31.88759, -102.332456)2
8LEVEL TWORoutine2022-07-291001250SLOCUMNaNST#7581250 SLOCUM ST #75875207NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20221250 SLOCUM ST #758\n(32.789582, -96.816348)2
9MALIBU POKERoutine2022-08-23963888OAK LAWNNaNNaN#1023888 OAK LAWN #10275219*25 HACCP Approved Procedures2.0228.243 Compliance Variances. (c) Conformance with approved procedures. If the regulatory authority grants a variance as specified in subsection (a) of this section, or a HACCP plan is otherwise required as specified in õ228.244(c) of this title, the food establishment shall: (1) comply with the HACCP plans and procedures that are submitted and approved as specified in õ228.244(d) of this title as a basis for the modification or waiver; andMust have HACCP for preparing sushi*35 Eating food, chewing gum, drinking beverages, or using tobacco1.0228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.Employee drinks / candy above utensils*38 Thawing. under running water criteria (70 degrees Fahrenheit) or below;1.0228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (A) at a water temperature of 21 degrees Celsius (70 degrees Fahrenheit) or below;Tuna left to thaw in standing waterNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2022FY20223888 OAK LAWN #1022